No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge
Open accessAbstract
In 2015, Dutton and Lynn published an account of a decrease of intelligence in France (negative Flynn effect) which had considerable societal impact. This decline was argued to be biological. However, there is good reason to be skeptical of these conclusions. The claim of intelligence decline was based on the finding of lower scores on the WAIS-III (normed in 1999) for a recent sample, but careful examination of the data suggests that this decline was in fact limited to subtests with a strong influence of culture-dependent declarative knowledge. In Study 1, we re-analyzed the data used by Dutton and Lynn (2015) and showed that only subtests of the WAIS primarily assessing cultural knowledge (Gc) demonstrated a significant decline. Study 2 replicated this finding and confirmed that performance was constant on other subtests. An analysis of differential item functioning in the five subtests with a decline showed that about one fourth of all items were significantly more difficult for subjects in a recent sample than in the original normative sample, for an equal level of ability. Decline on a subtest correlated 0.95 with its cultural load. These results confirm that there is currently no evidence for a decrease of intelligence in France, with prior findings being attributable to a drift of item difficulty for older versions of the WAIS, due to cultural changes. This highlights the role of culture in Wechsler's intelligence tests and indicates that when interpreting (negative) Flynn effects, the past should really be treated as a different country.
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TL;DR
Reanalyzing the French WAIS-III/WAIS-IV validity data and a new sample, the authors find no negative Flynn effect: the apparent IQ decline is confined to Gc/culture-knowledge subtests, not Gf/Gv, working memory, or processing speed. Item-level IRT shows many older WAIS-III items are differentially harder for a 2019 sample, and performance decline correlates .95 with cultural load, not biological load.
Key findings
- Study 1: FSIQ was significantly lower on WAIS-III than WAIS-IV (p < .001, dz = 0.47), but the difference was driven by Gc subtests: Vocabulary dz = .61, Information dz = .58, Comprehension dz = .55, and VCI dz = .62. Matrix Reasoning, the Gf index, was non-significant after correction. After excluding five subjects with intellectual disability, only VCI and FSIQ remained significant; Arithmetic became significant, and Matrix Reasoning disappeared (uncorrected p = .214).
- Study 2 (N = 81) replicated this: significant differences appeared for the five Gc subtests—Vocabulary, Similarities, Information, Comprehension, Arithmetic—and VCI, while PRI subtests showed no difference (all ps > .500; Matrix Reasoning p = .515). Combining Study 1 and Study 2 (N = 155) confirmed the same pattern, with Bayesian evidence favoring the null for Matrix Reasoning, Picture Completion, Block Design, PRI, and Gsm/Gs subtests.
- DIF analyses found about one fourth of items in the five Gc subtests were more difficult for the 2019 sample at equal ability: Vocabulary 10/33, Information 11/28, Arithmetic 7/20, Similarities 3/19, and Comprehension 2/6 estimable items. Differential test functioning predicted scores 0.5–1 Wechsler standard score lower (about 0.17–0.33 SD) for the 2019 sample.
- Woodley of Menie and Dunkel’s biological-load correlation of r = .72 had p = .144 after simulation; the Jensen effect r = .83 had 95% CI [-0.60, 2.26] (or r = .74, CI [-0.53, 2.01] with corrected range restriction), and the raw r = .38 was p = .223. Performance decline correlated .95 with composite cultural load (p < .001).
Methods
- Study 1 reanalyzed the publisher’s raw WAIS-III/WAIS-IV validity sample: 79 subjects (mean age = 44.53 years, SD = 13.71, range 30–63), counterbalanced order, using within-subjects t-tests, Cohen’s dz, FDR correction, and mixed-design ANOVAs with test order and age group.
- Study 2 collected a new counterbalanced sample of 81 adults (42 women, 39 men; mean age = 38.44, SD = 11.94, range 20–60; median retest interval = 35 days), combined with Study 1 for N = 155, and added Bayes factors. DIF used IRT with Stocking’s method A, 1-PL/PCM models, the 1999 WAIS-III normative sample (N = 1104, trimmed to 767) versus the 2019 sample (N = 81), Raju’s signed area, and item parameter replication.
- Complementary analyses reexamined Woodley of Menie and Dunkel’s biological-load correlations and computed correlations between performance decline and three cultural-load measures plus a composite.
Limitations
- Stated: relatively low sample size, especially for IRT/DIF analyses; Table 5 estimates may be unstable; the WAIS is not ideal for DIF due to sequential dependencies and discontinue rules; collecting a more exhaustive French sample would be difficult.
- Evident: Study 1’s sample was not representative—two discrete age groups (30–34 and 55–63), 5/79 (6.3%) with FSIQ < 70 versus expected 2.5%, no gifted subjects, and geographic imbalance (28/39 in southern France); some interaction findings rested on only 20 subjects per subgroup. Study 2’s average ability was high (FSIQ = 111.16), likely from word-of-mouth recruitment, though the authors report no ceiling effect and say DIF analyses accounted for it.
- Evident: DIF analyses fixed discrimination to 1 and examined only difficulty parameters due to low 2019 sample size; Comprehension item parameters could not be estimated for 12/18 items.
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Claims the paper makes
7 of 78 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Recent large meta-analyses have substantially disagreed on whether the Flynn effect has slowed but not halted or continues at the same rate.
“On the other hand, recent large meta-analyses have substantially disagreed on this matter: one meta-analysis found that the Flynn effect has slowed but not halted (Pietschnig & Voracek, 2015; including 4 million subjects in 31 countries), and another concluded that the Flynn effect continues at the same rate (Trahan et al., 2014; including 14.000 subjects in 285 studies).”
Quote in the paperNot a substantial claim1 of 2 sources checked - Findingown data
For the Vocabulary subtest, 10 out of 33 items were significantly biased against the 2019 sample, meaning they required comparatively higher intellectual ability to be solved for subjects in the 2019 sample compared to subjects in the 1999 sample.
“For the Vocabulary subtest, 10 out of 33 items were significantly biased against the 2019 sample, meaning they required comparatively higher intellectual ability to be solved for subjects in the 2019 sample compared to subjects in the 1999 sample.”
Quote in the paperSubstantial claim- Rests on an assumption: The 1999 WAIS-III normative sample is an appropriate reference for comparing item functioning with the 2019 sample.
- Findingown data
The data were actually collected in two discrete age groups: 30-to-34 and 55-to-63 year-olds.
“As is immediately visible, the data were actually collected in two discrete age groups: 30-to-34 and 55-to-63 year-olds.”
Quote in the paperSubstantial claim - Findingown data
Two more Vocabulary items were biased against the 2019 sample at the trend level.
“Two more items were biased against the 2019 sample at the trend level.”
Quote in the paperNot a substantial claim - Findingreasoning
The Study 1 validity sample was not representative of the general population as a whole.
“Thus, the sample in this dataset was definitely not representative of the general population as a whole”
Quote in the paperSubstantial claim- Rests on an assumption: The publisher's validity sample was collected only to ensure that the WAIS-III correlated with the WAIS-IV, and was never intended to be analyzed for other purposes.
- Findingown data
There was a marginal difference between versions for the Working Memory Index, driven exclusively by the Arithmetic subtest which also involves declarative knowledge.
“There was also a marginal difference between versions for the Working Memory Index, but it was driven exclusively by the Arithmetic subtest which also involves declarative knowledge.”
Quote in the paperSubstantial claim - Findingcitation
A logistic ordinal regression DIF analysis found significant bias for five subtests: vocabulary (12 biased items), similarities (10), information (10), comprehension (6), and arithmetic (4).
“For example, a test of DIF using logistic ordinal regression, with ability estimates computed more classically using IRT based on the subtest being tested for DIF (using package lordif; Choi, 2016) found significant bias for the five subtests: vocabulary (12 biased items), similarities (10 biased items), information (10 biased items), comprehension (6 biased items), and arithmetic (4 biased items)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Choi, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
After excluding the five subjects with intellectual disability, the difference between WAIS-III and WAIS-IV for the Arithmetic subtest became significant even after correction for multiple comparisons.
“The major changes with this corrected sample were that the difference between WAIS-III and WAIS-IV for the Arithmetic subtest became significant even after correction for multiple comparisons”
Quote in the paperSubstantial claim - Findingnone given
8 out of the 20 items in the WAIS-III Arithmetic subtest require subjects to calculate prices expressed in francs, the former French currency replaced by euros in 2002.
“for example, 8 out of the 20 items in the WAIS-III Arithmetic subtest require subjects to calculate prices expressed in francs, the former French currency which was replaced by euros in 2002.”
Quote in the paperSubstantial claim - Findingown data
In the combined datasets, the five subtests with significant cultural influence (Vocabulary, Similarities, Information, Comprehension, and Arithmetic) all elicited significantly lower performance in the WAIS-III version than in the WAIS-IV version.
“As in Study 2, the five subtests with significant cultural influence (Vocabulary, Similarities, Information, Comprehension, and Arithmetic) all elicited significantly lower performance in the WAIS-III version than in the WAIS-IV version.”
Quote in the paperSubstantial claim - Findingown data
After excluding the five subjects, the difference between WAIS-III and WAIS-IV on Matrix Reasoning completely disappeared, uncorrected p = .214.
“whereas the difference between WAIS-III and WAIS-IV on Matrix Reasoning (marginally significant in the whole sample, without correction for multiple comparison) completely disappeared, uncorrected p = .214.”
Quote in the paperSubstantial claim - Findingown data
The effect on Block Design observed in Study 1 did not replicate in Study 2, uncorrected p = .704.
“in particular, the effect on Block Design observed in Study 1 did not replicate, uncorrected p = .704”
Quote in the paperNot a substantial claim - Findingown data
Arithmetic demonstrated a two-way interaction between test version and age group, F(1, 70) = 4.97, p = .029, η2p = .07.
“Arithmetic demonstrated both a two-way interaction between test version and age group, F(1, 70) = 4.97, p = .029,η²p = .07”
Quote in the paperSubstantial claim - Findingown data
All subtests involving a cultural component showed a difference except for Similarities.
“In fact, all subtests involving cultural component showed a difference except for Similarities.”
Quote in the paperSubstantial claim - Findingown data
When aggregated at the test level, the logistic ordinal regression analysis led to bias against the 2019 sample for all subtests.
“When aggregated at the test level, this led to bias against the 2019 sample for all subtests.”
Quote in the paperSubstantial claim - Findingown data
Block Design demonstrated a three-way interaction between test version, age group, and test order, F(1, 70) = 4.34, p = .040, η2p = .06.
“and a three-way interaction between test version, age group, and test order, F(1, 70) = 4.34, p = .040,η²p = .06.”
Quote in the paperSubstantial claim - Findingown data
For most measures, taking into account test order and age group did not substantively change Dutton and Lynn's conclusions.
“A series of ANOVAs indicated that for most measures, taking into account test order and age group did not substantively change Dutton and Lynn's conclusions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
- Findingown data
Subtests and indices reflecting working memory and processing speed were unaffected.
“Subtests and indices reflecting working memory and processing speed were unaffected.”
Quote in the paperSubstantial claim- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
- Findingown data
Performance on the Gf subtest Matrix Reasoning did not differ between WAIS-III and WAIS-IV in Study 2, uncorrected p = .515.
“and performance on the Gf subtest of Matrix Reasoning did not differ between WAIS-III and WAIS-IV, uncorrected p = .515.”
Quote in the paperSubstantial claim - Findingown data
Subtests from the PRI did not show any difference in Study 2, all ps > .500.
“Subtests from the PRI did not show any difference, all ps > .500”
Quote in the paperSubstantial claim - Findingown data
In the Study 1 sample, five out of 79 subjects reached the threshold for intellectual disability (FSIQ less than 70) on both the WAIS-III and WAIS-IV.
“out of 79 subjects, five reached the threshold for intellectual disability (FSIQ less than 70; the lowest IQ in the sample was 57, about three standard deviations below average) on both the WAIS-III and WAIS-IV.”
Quote in the paperSubstantial claim - Findingown data
The only substantial differences in interactions appeared for the Block Design and Arithmetic subtests.
“The only substantial differences appeared for the Block Design and the Arithmetic subtests.”
Quote in the paperSubstantial claim - Findingown data
The lowest IQ in the Study 1 sample was 57, about three standard deviations below average.
“the lowest IQ in the sample was 57, about three standard deviations below average”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, subjects performed significantly higher on Symbol Search in the WAIS-III version than on the WAIS-IV.
“One unexpected finding is that subjects performed significantly higher on Symbol Search in the WAIS-III version than on the WAIS-IV”
Quote in the paperNot a substantial claim - Findingown data
Block Design demonstrated a two-way interaction between test version and test order, F(1, 70) = 5.60, p = .021, η2p = .07.
“Block Design demonstrated both a two-way interaction between test version and test order, F(1, 70) = 5.60, p = .021,η²p = .07”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the FSIQ difference was driven exclusively by the five subtests reflecting Gc: Vocabulary, Similarities, Information, Comprehension, the corresponding VCI, and the Arithmetic subtest.
“in Study 2, this difference was driven exclusively by the five subtests reflecting Gc: there were significant differences for Vocabulary, Similarities, Information, Comprehension, the corresponding VCI, and the Arithmetic subtest.”
Quote in the paperSubstantial claim - Findingown data
Four out of 33 Vocabulary items were significantly easier for the 2019 sample than for the 1999 sample.
“On the other hand, 4 out of 33 items were significantly easier for the 2019 sample than for the 1999 sample”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, there was a significant difference of FSIQ between the WAIS-III and WAIS-IV.
“As in Study 1, there was a significant difference of FSIQ between the two versions”
Quote in the paperSubstantial claim - Findingown data
Differences between performance on the WAIS-III and WAIS-IV in Study 2 were generally in line with the results of Study 1.
“Differences between performance on the WAIS-III and WAIS-IV were generally in line with the results of Study 1 (see Table 3 and Figure 2b).”
Quote in the paperNot a substantial claim - Findingown data
The most bias for Similarities was obtained for Item 15, which required ability almost one standard deviation higher in the 2019 sample.
“The most bias was obtained for Item 15, which required ability almost one standard deviation higher in the 2019 sample”
Quote in the paperNot a substantial claim - Findingown data
Of the 10 Vocabulary items biased against the 2019 sample, two required ability over one standard deviation higher for subjects in the recent sample, for the same probability of being solved correctly as in 1999.
“Of these 10 items, two required ability over one standard deviation higher for subjects in the recent sample, for the same probability of being solved correctly as in 1999.”
Quote in the paperNot a substantial claim - Findingown data
Most interactions involving age and test order were nonsignificant (ps > .05).
“Most interactions involving age and test order were nonsignificant (ps > .05).”
Quote in the paperNot a substantial claim - Findingown data
For the Similarities subtest, 3 out of 19 items were significantly biased against the 2019 sample.
“For the Similarities subtest, 3 out of 19 items were significantly biased against the 2019 sample.”
Quote in the paperSubstantial claim - Findingown data
A significant difference also appeared for Block Design, an index of Gv, but with a small-to-medium effect size (dz = .33).
“A significant difference also appeared for Block Design, an index of Gv, but with a small-to-medium effect size (dz = .33).”
Quote in the paperNot a substantial claim- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
- Findingown data
The reported r = .83 was obtained only after applying an extreme level of correction: the raw correlation of r = .38, p = .223 was multiplied by 2.19.
“the reported r = .83was obtained only after applying an extreme level of correction: to account for sampling error, restriction of range, unreliability and lack of psychometric validity, the raw correlation of r = .38,p = .223was multiplied by 2.19.”
Quote in the paperSubstantial claim - Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Vocabulary score was significantly higher than the WAIS-III Vocabulary score (M=10.20 vs 8.91, t=5.94, p<.001, dz=0.69).
“| Vocabulary | 74 | 8.91 (2.63) | 10.20 (2.79) | 5.94 | 0.69 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
For the Vocabulary subtest, the predicted score for an average ability (2019) was 1.55 standard score points lower on WAIS-IV than WAIS-III.
“| Vocabulary | + 0.21 | -2.30 | -1 | -1.55 |”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the WAIS-IV Processing speed index was significantly lower than the WAIS-III Processing speed index (M=105.30 vs 108.71, t=-3.30, p=.001, dz=0.37).
“| Processing speed index | 81 | 108.71 (13.40) | 105.30 (15.13) | -3.30 | 0.37 | .001 | ** |”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, the WAIS-IV Full Scale IQ was significantly higher than the WAIS-III Full Scale IQ (M=111.41 vs 106.80, t=4.22, p<.001, dz=0.47).
“| Full scale IQ | 81 | 106.80 (11.87) | 111.41 (13.55) | 4.22 | 0.47 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
All biased Comprehension items were related to civic education.
“biased Comprehension items were all related to civic education”
Quote in the paperNot a substantial claim - Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Verbal comprehension index was significantly higher than the WAIS-III Verbal comprehension index (M=101.66 vs 96.50, t=5.88, p<.001, dz=0.68).
“| Verbal comprehension index | 74 | 96.50 (12.91) | 101.66 (13.59) 5.88 | 0.68 | <.001 | *** | |”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the WAIS-IV Information score was significantly higher than the WAIS-III Information score (M=10.88 vs 9.80, t=4.04, p<.001, dz=0.45).
“| Information | 81 | 9.80 (2.78) | 10.88 (3.30) | 4.04 | 0.45 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Symbol search (F=4.92, η2p=.03, p=.028, BF10=1.38).
“| Symbol search | 155 | 4.92 | .03 | .028 | * | 1.38 | |”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, the WAIS-IV Comprehension score was significantly higher than the WAIS-III Comprehension score (M=12.63 vs 11.39, t=4.01, p<.001, dz=0.45).
“| Comprehension | 81 | 11.39 (2.76) | 12.63 (2.91) | 4.01 | 0.45 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Full Scale IQ (F=32.22, η2p=.18, p<.001, BF10=207855).
“| Full scale IQ | 152 32.22 | .18 | <.001 | *** | 207855 | |”
Quote in the paperSubstantial claim - Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Comprehension score was significantly higher than the WAIS-III Comprehension score (M=10.14 vs 9.04, t=4.60, p<.001, dz=0.53).
“| Comprehension | 74 | 9.04 (2.78) | 10.14 (2.62) | 4.60 | 0.53 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Verbal comprehension index (F=141.21, η2p=.48, p<.001, BF10=9.60 x 10e18).
“| Verbal comprehension index | 155 141.21 | .48 | <.001 | *** | 9.60 x 10e 18 | |”
Quote in the paperSubstantial claim - Findingown data
Obtaining half the points on the Vocabulary subtest required ability 0.21 standard deviations higher in the 2019 sample than in the 1999 sample.
“for example, obtaining half the points on the Vocabulary subtest required ability 0.21 standard deviations higher in the 2019 sample than in the 1999 sample”
Quote in the paperSubstantial claim - Findingown data
Performance decline on subtests was positively correlated with composite cultural load (r=.95, p<.001).
“| | performance | .89 *** | .93 *** | .85 *** | .95 *** |”
Quote in the paperSubstantial claim - Findingown data
In the five subtests demonstrating a decline, about one fourth of items were comparatively more difficult for the 2019 sample than for the 1999 sample for an equal level of ability.
“All in all, in the five subtests demonstrating a decline, about one fourth of items were comparatively more difficult for the 2019 sample than for the 1999 sample for an equal level of ability.”
Quote in the paperSubstantial claim - Findingown data
This correlation was partly driven by g-loadings, the only one of the four indices of biological load to correlate significantly with performance decline.
“This correlation was partly driven by g-loadings, the only one of the four indices of biological load to correlate significantly with performance decline.”
Quote in the paperNot a substantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Similarities (F=44.32, η2p=.22, p<.001, BF10=3.20 x 10e6).
“| Similarities | 155 44.32 | .22 | <.001 | *** | 3.20 x 10e 6 | |”
Quote in the paperSubstantial claim - Findingown data
Item 17 required ability half a standard deviation higher in the 2019 sample.
“Item 17 also required ability half a standard deviation higher in the 2019 sample”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, the WAIS-IV Similarities score was significantly higher than the WAIS-III Similarities score (M=13.84 vs 11.24, t=8.40, p<.001, dz=0.93).
“| Similarities | 81 | 11.24 (2.73) | 13.84 (2.99) | 8.40 | 0.93 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
All but one of the Information items that were biased against a recent sample related to the names of famous people.
“All but one of the Information items that were biased against a recent sample related to the names of famous people”
Quote in the paperNot a substantial claim - Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Information score was significantly higher than the WAIS-III Information score (M=10.18 vs 9.03, t=4.98, p<.001, dz=0.58).
“| Information | 74 | 9.03 (3.00) | 10.18 (2.78) | 4.98 | 0.58 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In a combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version (WAIS-III vs WAIS-IV) on Vocabulary (F=71.41, η2p=.32, p<.001, BF10=2.69 x 10e11).
“| Vocabulary | 155 71.41 | .32 | <.001 | *** | 2.69 x 10e 11 | |”
Quote in the paperSubstantial claim - Findingown data
There were no reliable differences between WAIS-III and WAIS-IV for any subtests reflecting visuo-spatial reasoning (Gf and Gv), or working memory and processing speed (Gsm and Gs), based on abstract materials.
“there were no reliable differences between WAIS-III and WAIS-IV for any of the subtests reflecting visuo-spatial reasoning (Gf and Gv), or working memory and processing speed (Gsm and Gs), and which were based on abstract materials.”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Comprehension (F=35.46, η2p=.19, p<.001, BF10=608010).
“| Comprehension | 155 35.46 | .19 | <.001 | *** | 608010 | |”
Quote in the paperSubstantial claim - Findingown data
With average ability, the predicted raw score on Vocabulary was 2.30 points lower in the 2019 sample, corresponding to a standard score roughly 1 point lower.
“with an average ability, the predicted raw score was 2.30 points lower in the 2019 sample, corresponding to a standard score roughly 1 point lower”
Quote in the paperSubstantial claim - Findingown data
All three Comprehension items that were more difficult concerned civic education, dealing with the topics of parliaments and criminal courts.
“All three items concerned civic education, dealing with the topics of parliaments and criminal courts.”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Arithmetic (F=13.19, η2p=.08, p<.001, BF10=57.28).
“| Arithmetic | 155 13.19 | .08 | <.001 | *** | 57.28 | |”
Quote in the paperSubstantial claim - Findingown data
Computing the correlation between performance decline and the same composite excluding performance decline gave r = .53, p = .147.
“Computing the correlation between performance decline, and the same composite including the four indices of biological load but excluding performance decline, gave a fairer r = .53,p = .147.”
Quote in the paperSubstantial claim - Findingown data
For all five subtests, differential test functioning elicited scores 0.5 to 1 point lower in Wechsler standard scores (about 0.17 to 0.33 standard deviations lower) for the 2019 sample than for the 1999 sample, with an equal level of ability.
“As reflected in Table 6, for all five subtests, differential test functioning elicited scores 0.5 to 1 point lower in terms of Wechsler standard scores (about 0.17 to 0.33 standard deviations lower) for the 2019 sample than for the 1999 sample, with an equal level of ability.”
Quote in the paperSubstantial claim- Rests on an assumption: The 1999 WAIS-III normative sample is an appropriate reference for comparing item functioning with the 2019 sample.
- Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Arithmetic score was significantly higher than the WAIS-III Arithmetic score (M=10.99 vs 10.28, t=2.44, p=.017, dz=0.28).
“| Arithmetic | 74 | 10.28 (2.59) | 10.99 (3.02) | 2.44 | 0.28 | .017 | * |”
Quote in the paperSubstantial claim - Findingown data
A Monte-Carlo simulation indicated that the p value for the observed r = .72 was actually p = .144.
“A Monte-Carlo simulation (replicating the same analysis 100.000 times, using randomly generated data for performance decline; the corresponding code is available as supplemental material) indicated that the pvalue for the observed r = .72was actually p = .144.”
Quote in the paperSubstantial claim - Findingown data
Further analyses investigating DIF indicated significant bias against a recent sample for many items of the five Gc subtests of the WAIS-III.
“Further analyses investigating DIF indicated significant bias against a recent sample for many items of the five Gc subtests of the WAIS-III.”
Quote in the paperSubstantial claim - Findingreasoning
Using the correct formula for restriction of range gives r = .74 instead of r = .83.
“Using the correct formula gives r = .74instead of r = .83.”
Quote in the paperNot a substantial claim - Findingown data
In Study 2, the WAIS-IV Symbol search score was significantly lower than the WAIS-III Symbol search score (M=11.23 vs 12.22, t=-3.28, p=.002, dz=0.36).
“| Symbol search | 81 | 12.22 (2.93) | 11.23 (3.15) | -3.28 | 0.36 | .002 | ** |”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the WAIS-IV Arithmetic score was significantly higher than the WAIS-III Arithmetic score (M=11.04 vs 10.32, t=2.71, p=.008, dz=0.30).
“| Arithmetic | 81 | 10.32 (2.95) | 11.04 (2.89) | 2.71 | 0.30 | .008 | * |”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the WAIS-IV Vocabulary score was significantly higher than the WAIS-III Vocabulary score (M=12.94 vs 11.16, t=6.24, p<.001, dz=0.69).
“| Vocabulary | 81 | 11.16 (2.51) | 12.94 (3.42) | 6.24 | 0.69 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Block design score was significantly higher than the WAIS-III Block design score (M=10.99 vs 10.42, t=2.43, p=.017, dz=0.28).
“| Block design | 74 | 10.42 (2.87) | 10.99 (2.73) | 2.43 | 0.28 | .017 | * |”
Quote in the paperSubstantial claim - Findingown data
Two out of 19 Similarities items were easier in the recent sample.
“On the other hand, 2 out of 19 items were easier in the recent sample.”
Quote in the paperNot a substantial claim - Findingreasoning
The critical value for a correlation significantly greater than chance at the .05 level in such an analysis would have been r = .81.
“The critical value for a correlation significantly greater than chance at the .05level in such an analysis -correlating a variable with a composite of five variables including itself -would have been r = .81.”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the WAIS-IV Verbal comprehension index was significantly higher than the WAIS-III Verbal comprehension index (M=115.16 vs 103.84, t=10.72, p<.001, dz=1.19).
“| Verbal comprehension index | 81 | 103.84 (12.40) | 115.16 (15.44) | 10.72 | 1.19 | <.001 | *** |”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis of Study 1 and Study 2 data controlling for sample, there was a significant main effect of test version on Information (F=39.38, η2p=.20, p<.001, BF10=3.02 x 10e6).
“| Information | 155 39.38 | .20 | <.001 | *** | 3.02 x 10e 6 | |”
Quote in the paperSubstantial claim - Findingown data
All but one of the biased Arithmetic items required computing mental division or proportions.
“All but one of the biased Arithmetic items required computing mental division or proportions.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Based on these data, it is more accurate to say that the Study 1 sample provided evidence for a recent decline of performance on tests depending on cultural knowledge and designed at the end of the 1990s.
“Based on these data, it would be more accurate to say that this sample provided evidence for a recent decline of performance on tests depending on cultural knowledge and designed at the end of the 1990s.”
Quote in the paperSubstantial claim - Interpretationreasoning
The Study 1 data are clearly incompatible with the existence of a negative Flynn effect reflecting a general decline of intelligence.
“This is clearly incompatible with the existence of a negative Flynn effect reflecting a general decline of intelligence.”
Quote in the paperSubstantial claim - Premisecitation
All subtests of the WAIS load on the general factor of intelligence to an extent.
“This is not to say that these indices represent orthogonal dimensions of ability: all subtests of the WAIS load on the general factor of intelligence to an extent (Canivez & Watkins, 2013)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Canivez & Watkins, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In the CHC taxonomy, the four subtests of the VCI (Vocabulary, Similarities, Information, Comprehension) all reflect Gc.
“Vocabulary, Similarities, Information and Comprehension, the four subtests of the Verbal Comprehension Index (VCI), all reflect Gc (crystallized intelligence: acquired knowledge within a specific culture, and application of this knowledge).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McGrew, 2009 source
- Interpretationreasoning
The possibility of item bias emerging over time, due to cultural changes, provides a plausible mechanism to explain why the difference between WAIS-III and WAIS-IV reported by Dutton and Lynn (2015) could have been primarily driven by subtests with a large Gc loading.
“The possibility of item bias emerging over time, due to cultural changes, thus provides a plausible mechanism to explain why the difference between WAIS-III and WAIS-IV reported by Dutton and Lynn (2015) could have been primarily driven by subtests with a large Gc loading”
Quote in the paperSubstantial claim - Interpretationreasoning
With such a limited sample, random patterns of variation are a strong possibility.
“The first reason is the sample size of 79 subjects, small enough for a study on the Flynn effect that replication is warranted: random patterns of variation are a strong possibility with such a limited sample.”
Quote in the paperSubstantial claim - Interpretationreasoning
The sample size of 79 subjects in Dutton and Lynn (2015) is small enough for a study on the Flynn effect that replication is warranted.
“The first reason is the sample size of 79 subjects, small enough for a study on the Flynn effect that replication is warranted: random patterns of variation are a strong possibility with such a limited sample.”
Quote in the paperSubstantial claim - Interpretationown data
The interactions for Digit Symbol Coding and Picture Completion were crossover interactions indicating a test-retest effect, wherein the test version performed first yielded lower scores than the test version performed second.
“but these were simply crossover interactions indicating a test-retest effect, wherein the test version performed first yielded lower scores than the test version performed second.”
Quote in the paperNot a substantial claim - Premisecitation
Different indices of the WAIS reflect different narrow dimensions of ability.
“However, it is well known that different indices of the WAIS actually reflect different narrow dimensions of ability (for factor analyses, see Benson et al., 2010;Flanagan, 2000;Flanagan et al., 2013;Golay & Lecerf, 2011;Keith et al., 2006;Lecerf et al., 2012;Ward et al., 2012).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Generational gains in intelligence labeled the Flynn effect primarily occur on Gf, much more than Gc.
“The second reason hinges on the fact that the generational gains in intelligence labeled Flynn effect primarily occur on Gf, much more than Gc (Pietschnig & Voracek, 2015; for results with the Wechsler scales, see Grégoire et al., 2016).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Pietschnig & Voracek, 2015 source
- cites Grégoire et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Interpreting the difference between WAIS-III and WAIS-IV as a difference of ability rests on the assumption that the WAIS-III and WAIS-IV measure ability equally well in a recent sample.
“A final, related issue is that interpreting the difference between WAIS-III and WAIS-IV as a difference of ability rests on the assumption that the WAIS-III and WAIS-IV measure ability equally well in a recent sample.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Beaujean and Zheng (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In the CHC taxonomy, the Matrix Reasoning subtest of the PRI reflects Gf.
“the Matrix Reasoning subtest of the Perceptual Reasoning Index (PRI) reflects Gf (fluid intelligence: inductive and deductive reasoning abilities)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McGrew, 2009 source
- Interpretationreasoning
If the finding of a decline in scores was restricted to subtests with a Gc component, the logical conclusion would be that it reflects the operation of a different mechanism than the classic Flynn effect, presumably related to acquired declarative knowledge.
“If the finding of a decline in scores was restricted to subtests with a Gc component, the logical conclusion would be that it reflects the operation of a different mechanism than the classic Flynn effect -presumably a mechanism related to acquired declarative knowledge, whose role is greater on these subtests.”
Quote in the paperSubstantial claim - Premisecitation
In the CHC taxonomy, the Arithmetic subtest appears to reflect a mix of Gf, Gc, Gsm and Gq.
“Lastly, the Arithmetic subtest appears to reflect a mix of Gf, Gc, Gsm and Gq (quantitative reasoning).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McGrew, 2009 source
- Premisereasoning
The effect sizes reported in Dutton and Lynn (2015) could only be computed as if the design had been between-subjects.
“For the same reason, the effect sizes reported in Dutton and Lynn (2015) could only be computed as if the design had been between-subjects.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is impossible to directly disentangle biological and environmental causes based on the measures used by the authors.
“In other words, it is actually impossible to directly disentangle biological and environmental causes based on the measures used by the authors.”
Quote in the paperSubstantial claim - Interpretationown data
If a Jensen effect exists here, its magnitude is probably limited.
“In short, if a Jensen effect exists here, its magnitude is probably limited.”
Quote in the paperSubstantial claim - Interpretationnone given
All coefficients of cultural load or biological load reflect a mix of cultural and biological influences.
“as noted above, all coefficients -whether of cultural load or biological load -reflect a mix of cultural and biological influences.”
Quote in the paperNot a substantial claim - Premisecitation
Performance can differ between groups of subjects without representing a true difference of ability.
“this is an illustration of the principle that performance can differ between groups of subjects without representing a true difference of ability (Beaujean & Osterlind, 2008;Beaujean & Sheng, 2010).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Kan and colleagues (2013) found that the g-loadings and heritability coefficients of a test were substantially correlated with its cultural load (r = .83 and r = .40 respectively).
“Kan and colleagues (2013), who found that the g-loadings and heritability coefficients of a test were substantially correlated with its cultural load (r = .83and r = .40respectively).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kan et al., 2013 source
- Interpretationown data
The lower performance on subtests depending on culture-based declarative knowledge was largely attributable, not to a lower ability in the recent sample, but to items being comparatively more difficult for a recent sample than for the normative sample, for an equal level of ability.
“In other words, the lower performance on subtests depending on culture-based declarative knowledge was largely attributable, not to a lower ability in the recent sample, but to items being comparatively more difficult for a recent sample than for the normative sample (for an equal level of ability).”
Quote in the paperSubstantial claim - Interpretationreasoning
Increases in item difficulty for a recent sample could be attributed to environmental changes in school programs, topics covered by the media, and other societal evolutions.
“In all cases, these increases in item difficulty for a recent sample could be attributed to environmental changes in school programs, topics covered by the media, and other societal evolutions.”
Quote in the paperSubstantial claim - Interpretationown data
The decrease on subtests involving declarative knowledge largely reflected measurement bias due to differences of item difficulty for samples collected at different dates, not an actual decrease of ability.
“it appeared that this decrease on subtests involving declarative knowledge largely reflected, not an actual decrease of ability, but measurement bias due to differences of item difficulty for samples collected at different dates.”
Quote in the paperSubstantial claim - Interpretationown data
Comparing this result with the size of the difference between WAIS-III and WAIS-IV suggested that differential test functioning explained much or all of the score difference interpreted by Dutton and Lynn (2015) as a negative Flynn effect.
“Comparing this result with the size of the difference between WAIS-III and WAIS-IV suggested that differential test functioning explained much or all of the score difference interpreted by Dutton and Lynn (2015) as a negative Flynn effect.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
- Interpretationreasoning
The difference reflected item-related measurement bias, rather than an actual change of ability.
“This point is compounded by the fact that the difference reflected item-related measurement bias, rather than an actual change of ability.”
Quote in the paperSubstantial claim - Interpretationown data
A rough estimation of summed bias at the test level suggested that this DIF was sufficient to account for most or all of the observed difference between WAIS-III and WAIS-IV for the various subtests.
“A rough estimation of summed bias at the test level suggested that this DIF was sufficient to account for most or all of the observed difference between WAIS-III and WAIS-IV for the various subtests.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results are not sufficient to claim that the decline is exclusively cultural.
“Note that these results are not sufficient to claim that the decline is exclusively cultural”
Quote in the paperSubstantial claim - Premisecitation
Reaction times are not just biological, given that they are influenced by non-biological variables such as familiarity with test materials, motivation, attention, response strategies, and understanding instructions.
“reaction times are not just”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Detterman, 1987
- cites Nettelbeck, 1998 source
- cites Flynn, 2009a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Examining item content suggested a number of things that were comparatively less well known in the recent sample - such as the names of famous people, topics of civic education, and how to perform a mental division.
“Examining item content suggested a number of things that were comparatively less well known in the recent sample -such as the names of famous people, topics of civic education, and how to perform a mental division.”
Quote in the paperSubstantial claim - Premisecitation
Applying this sort of correction can magnify spurious effects in the data.
“it is well-known that applying this sort of correction can magnify spurious effects in the data (e.g.Winne & Belfry, 1982; to illustrate, a raw correlation of .46 would have yielded a corrected correlation greater than 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Winne & Belfry, 1982 source
- Interpretationown data
The source of the decline is cultural rather than biological.
“clearly supports the idea that the source of the decline is cultural rather than biological.”
Quote in the paperSubstantial claim - Interpretationown data
The cultural load of a subtest accounted for virtually all of its decline.
“Thus, the cultural load of a subtest accounted for virtually all of its decline.”
Quote in the paperSubstantial claim
- May combine two claims. 100
- Classified as probably not a substantial claim. 73
- The quote only partly states this claim. 3
May combine two claims.
InterpretationcitationBoth meta-analyses listed a small number of studies reporting negative Flynn effects, which suggests that observed intelligence decreases can reflect fluctuations around a stable or increasing average due to chance or methodological bias.
“Both meta-analyses listed a small number of studies reporting negative Flynn effects, which suggests that observed intelligence decreases can reflect fluctuations around a stable or increasing average (see Pietschnig & Voracek, 2015, Figure 2;Trahan et al., 2014, Figure 2), due either to chance or to methodological bias.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Pietschnig & Voracek, 2015 source
- cites Trahan et al., 2014 source
The Results (Overall Model; page unavailable) report a positive mean Flynn effect and estimate that 82% of true effects were above zero. The Results (Moderator Analyses of the Modern Tests; page unavailable) describe lower-than-average effects in Figure 2 and a negative estimate after the first study in a cumulative analysis, but do not establish how many Figure 2 studies had negative effects. The paper discusses possible measurement artifacts, while its Results (Distribution of Effects; page unavailable) say the observed heterogeneity is not consistent with sampling error alone; it does not establish the proposed chance explanation for the decreases. (LLM, conf=0.78)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe weight of declarative knowledge is substantially greater in VCI subtests reflecting Gc than in all other subtests that place little emphasis on declarative knowledge, as illustrated by their lesser decline with age and higher correlation with education and socio-economic levels.
“Still, the weight of declarative knowledge is substantially greater in VCI subtests reflecting Gc, as illustrated by their lesser decline with age (Baxendale, 2011, Grégoire, 1993;Kaufman et al., 1989, Ryan et al., 2000) and their higher correlation with education and socio-economic levels (Dori & Chelune, 2004;Heaton et al., 2003;Holdnack et al., 2013), than all other subtests that place little”
Quote in the paperSubstantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationItem parameter estimation used Stocking's method A.
“Item parameter estimation was performed using Stocking's method A (Stocking, 1988; see also Birnbaum, 1968;Ban et al., 2001).”
Quote in the paperNot a substantial claim2 of 3 sources checkedMay combine two claims.
PremisecitationStocking's method A works well with limited sample sizes, removes the necessity of picking anchor items to link ability scales, and estimates general ability based on all available information instead of only the items being tested for DIF.
“Stocking's method A works well with limited sample sizes, as was the case for the 2019 sample; it removes the necessity of picking anchor items to link the ability scales of the two groups on the same metric; and it estimates general ability based on all available information, instead of only the items being tested for DIF.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Stocking, 1988 source
The Method B section says Method A does not use anchor items and summarizes adaptive-test information in an ability estimate, which supports those aspects of the claim. But the paper studies on-line calibration, not linking two groups for DIF analysis, and the Discussion reports that Method A’s estimation error increases across rounds. It does not establish that Method A works well with the cited limited sample size. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFlieller (1988) reached the same conclusion in a French dataset over three decades ago; Brand and colleagues (1989) also found a similar result of decreasing scores due to changes of item difficulty.
“As an example, Flieller (1988) reached the same conclusion in a French dataset over three decades ago; Brand and colleagues (1989) also found a similar result of decreasing scores due to changes of items difficulty”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
Findingown dataAt the index level in the corrected sample, only VCI and FSIQ showed a statistically significant difference between versions at the .05 level, and both survived correction for multiple comparisons.
“At the level of indices, only the VCI and FSIQ showed a statistically significant difference between versions at the .05level; both survived correction for multiple comparisons.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenAll Study 2 subjects were native French speakers, and none had a history of major neurologic or psychiatric disorder.
“All subjects were native French speakers, and none had a history of major neurologic or psychiatric disorder.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenStudy 2 included 81 subjects recruited by word of mouth in the community.
“A total of 81 subjects, recruited by word of mouth in the community, participated in the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Study 1 sample had an unbalanced range of ability, with no gifted subjects and a highest FSIQ of 123.
“yielded an unbalanced range of ability given that there were no gifted subjects at the other end of the scale (the highest FSIQ in this sample was 123).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA Mantel-Haenszel DIF analysis found significant bias for vocabulary (11 biased items), similarities (3), information (8), comprehension (1), and arithmetic (3), mostly against the 2019 sample.
“Another analysis using the Mantel-Haenszel method, with all items recoded as binary and with ability computed as total score on a subtest, also found significant bias for vocabulary (11 biased items), similarities (3 biased items), information (8 biased items), comprehension (1 biased item), and arithmetic (3 biased items), mostly against the 2019 sample.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe general ability estimate correlated between .41 and .60 with the five biased subtests.
“This general ability estimate correlated between .41 and .60 with the five biased subtests.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSubjects in the 2019 sample performed somewhat above the 1999 average, and there was a greater range of scores in the 1999 sample, especially for lower ability levels.
“Subjects in the 2019 sample performed somewhat above the 1999 average, and there was a greater range of scores in the 1999 sample, especially for lower ability levels.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe full-scale IQ (FSIQ) was significantly lower on the WAIS-III than on the WAIS-IV (p < .001), compatible with a decrease of intelligence between the WAIS-III and WAIS-IV normative samples.
“The results confirmed that the full-scale IQ (FSIQ) was significantly lower on the WAIS-III than on the WAIS-IV (p < .001),compatible with a decrease of intelligence between the WAIS-III and WAIS-IV normative samples.”
Quote in the paperSubstantial claim- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
May combine two claims.
Findingown dataThe difference was mostly driven by Gc subtests: Vocabulary, Information and Comprehension subtests, along with the corresponding VCI, all showed medium-to-large performance decreases (dz between .54 and .62).
“Contrary to this hypothesis, however, the difference was mostly driven by Gc subtests: Vocabulary, Information and Comprehension subtests, along with the corresponding VCI, all showed medium-to-large (Cohen, 1988) performance decreases (dz between .54 and .62).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cohen, 1988
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe median test-retest interval in Study 2 was 35 days (M = 35.92 days, SD = 14.92 days, range = 14 to 70 days), similar for the two orders.
“The median test-retest interval was 35 days (M = 35.92days, SD = 14.92 days, range = 14 to 70 days), similar for the two orders (median = 35 days for both).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Matrix Reasoning subtest, used as the best available index of Gf, had an even smaller effect size and showed a non-significant difference (p > .10) after correction for multiple comparisons.
“The Matrix Reasoning subtest, used as the best available index of Gf (Marshalek et al., 1983;Carpenter et al., 1990), had an even smaller effect size and showed a non-significant difference (p > .10)after correction for multiple comparisons.”
Quote in the paperSubstantial claim0 of 2 sources checked- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe descriptive statistics for age in the sample were M = 44.53 years, SD = 13.71 years, range = 30 to 63 years.
“The descriptive statistics for age, as stated in the test manual and in Dutton and Lynn (2015), were M = 44.53years, SD = 13.71years, range = 30 to 63 years.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
Classified as probably not a substantial claim. May combine two claims.
Findingnone givenThe authors corrected two errors prior to analysis: a misreporting for the Arithmetic subtest in the WAIS-IV manual (WAIS-IV performance reported as M = 10.1, SD = 3.0 instead of M = 10.63, SD = 3.24), and a mistranslation by Dutton and Lynn in their Table 4.
“We just corrected two errors prior to analysis.The first error was a misreporting for the Arithmetic subtest in the WAIS-IV manual (WAIS-IV performance reported as M = 10.1,SD = 3.0 instead of M = 10.63,SD = 3.24).The second error was a mistranslation on the part of Dutton and Lynn (in their Table 4, line 5; the numbers they report as”
Quote in the paperSubstantial claim- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
May combine two claims.
Findingown dataThe Bayes factor was not informative for Symbol Search, diverging from the frequentist results, and did not support the existence of a large difference between versions for this subtest.
“The Bayes factor was not informative for Symbol Search, thus diverging from the frequentist results: this did not support the existence of a large difference between versions for this subtest.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe prevalence of intellectual disability in the Study 1 sample was 6.3%, larger than the expected 2.5% in the general population.
“This represented a larger prevalence of intellectual disability than expected in the general population (6.3% of the sample instead of an expected 2.5%)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe second finding of Study 1, after reanalyzing the data, was that the difference between WAIS-III and WAIS-IV was statistically significant with a medium effect size, but was almost entirely driven by three of the four subtests of the VCI, i.e., three subtests primarily depending on Gc.
“The second finding, after reanalyzing the data, was that the difference between WAIS-III and WAIS-IV was statistically significant with a medium effect size, but was almost entirely driven by three of the four subtests of the VCI -in other words, three subtests primarily depending on Gc.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBayesian analyses confirmed very strong evidence in favor of differences between WAIS-III and WAIS-IV for the same five Gc subtests, and only for these subtests.
“Bayesian analyses confirmed that there was very strong evidence in favor of differences between the WAIS-III and WAIS-IV for the same five subtests depending on Gc, and only for these subtests.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSocio-economic groups in Study 2 were representative of the general population.
“Socio-economic groups were representative of the general population (1 farmer, 3 artisans, 17 executives and other intellectual professions, 19 workers of intermediate level, 20 employees, 15 laborers, and 6 students or unemployed persons; retired persons counted as per their former profession).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the five subtests demonstrating a difference between WAIS-III and WAIS-IV, all except Block Design involved a significant contribution of declarative knowledge, and the difference for Block Design only existed in one of four subgroups.
“In sum, of the five subtests demonstrating a difference between WAIS-III and WAIS-IV, all except Block Design involved a significant contribution of declarative knowledge, and the difference for the latter only existed in one of four subgroups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe combined Study 1 and Study 2 ANOVA results were very similar to Study 1 and Study 2 considered separately.
“The results of ANOVAs for this complementary analysis are summarized in Table 4; they were very similar to Study 1 and Study 2 considered separately.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataArithmetic demonstrated a marginal two-way interaction between test version and test order, F(1, 70) = 3.30, p = .073, η2p = .05.
“and a marginal two-way interaction between test version and test order, F(1, 70) = 3.30, p = .073,η²p = .05.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAlternative DIF methods yielded different results and different lists of items identified with DIF, but this did not change the overall picture much.
“As is common with tests of DIF, alternative methods yielded different results and the list of items identified with DIF varied, but this did not change the overall picture much.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA contrast analysis indicated the same pattern for Block Design and Arithmetic: only older adults who completed the WAIS-III first performed significantly higher on the WAIS-IV (p < .001); there was no difference between WAIS-III and WAIS-IV for younger adults in either order condition, or for older adults who performed the WAIS-IV first.
“A contrast analysis indicated the same pattern for both subtests: only older adults who completed the WAIS-III first performed significantly higher on the WAIS-IV (p < .001);there was no difference between WAIS-III and WAIS-IV for younger adults in either order condition, or for older adults who performed the WAIS-IV first (all other ps > .43 for Block Design and all other ps > .24for Arithmetic).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo difference appeared for the sole Gf subtest Matrix Reasoning, or for working memory or processing speed.
“No difference appeared for the sole Gf subtest, Matrix Reasoning, or for working memory or processing speed.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFour of the Gc subtest differences replicated from Study 1; the only change in Study 2 was for the Similarities subtest, which had not shown a significant difference in Study 1.
“Four of these replicated from Study 1; the only change in Study 2 was for the Similarities subtest, which had not shown a significant difference in Study 1.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. The quote only partly states this claim.
Findingown dataAfter excluding the five subjects with intellectual disability, the reanalysis sample size was N = 74.
“The results (N = 74) are displayed in Table 2 and in Figure 2a.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe Study 2 sample included 42 women and 39 men, mean age = 38.44 years, SD = 11.94, range = 20 to 60 years, with a continuous distribution.
“The sample included 42 women and 39 men, mean age = 38.44 years, SD = 11.94,range = 20 to 60 years (with a continuous distribution).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFor Digit Symbol Coding and Picture Completion, test version interacted with test order (p = .026 and p < .001 respectively).
“For Digit Symbol Coding and Picture Completion, test version interacted with test order (p = .026and p < .001respectively)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA complementary linear regression indicated that the predicted difference of FSIQ between versions for a subject with a null difference in the VCI was small and not significantly different from zero, b = -0.12, t = -0.07, p = .947, confirming that Gc subtests accounted for most or all of the difference in FSIQ.
“A complementary analysis using linear regression indicated that the predicted difference of FSIQ between versions for a subject with a null difference in the VCI was small and not significantly different from zero, b = -0.12,t = -0.07,p = .947,confirming that Gc subtests accounted for most or all of the difference in FSIQ.”
Quote in the paperSubstantial claim- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
May combine two claims.
Findingown dataThere was substantial evidence in favor of the null hypothesis for the three subtests assessing Gf and Gv - Matrix Reasoning, Picture Completion and Block Design - and for the corresponding PRI, as well as for other subtests reflecting Gsm and Gs.
“Critically, there was substantial evidence in favor of the null hypothesis for the three subtests assessing Gf and Gv -Matrix Reasoning, Picture Completion and Block Design -and for the corresponding PRI, as well as for other subtests reflecting Gsm and Gs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter exclusion of subjects with intellectual disability, significant differences remained for the Arithmetic subtest, which includes a significant Gc loading, and for Block Design, a Gv subtest, but these differences were more unstable and only appeared in the subgroup of older adults who performed the WAIS-III first.
“After exclusion of subjects with intellectual disability, significant differences also remained for the Arithmetic subtest, which also includes a significant Gc loading, and for Block Design, a Gv subtest, but these differences were more unstable and only appeared in the subgroup of older adults who performed the WAIS-III first.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the combined datasets, there were no differences for the other subtests, apart from a slightly higher performance in the WAIS-IV version of Symbol Search, driven by the Study 2 sample.
“There were no differences for the other subtests, apart from a slightly higher performance in the WAIS-IV version of Symbol Search, driven by the Study 2 sample.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe five subjects with intellectual disability were outliers on both Matrix Reasoning and Block Design, with a standard score of 1 only in the WAIS-III.
“these five subjects were outliers on both the Matrix Reasoning subtest and the Block Design subtest, with a standard score of 1 (the minimum possible, reflecting complete failure to meet task requirements), but only in the WAIS-III.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTwo Arithmetic items required ability more than one standard deviation higher in the 2019 sample, and both required mental division; out of the other five biased items, four also required mental division, either explicitly or in the context of computing a proportion.
“Two items required ability more than one standard deviation higher in the 2019 sample, and both required mental division; out of the other five biased items, four also required mental division, either explicitly or in the context of computing a proportion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHeritability and dysgenics both had non-significant correlations with performance decline.
“heritability and dysgenics both had non-significant correlations with performance decline”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPerformance decline on a subtest correlated near unity with its cultural load: correlations were between .85 and .93 for the three separate measures and reached .95 for the composite cultural load, all significant at the .001 level.
“Performance decline on a subtest correlated near unity with its cultural load: the correlations were between .85 and .93 for the three measures of cultural load considered separately, and reached .95 for the composite cultural load.All correlations were significant at the .001level.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe reported Jensen effect is both non-significant and highly unstable.
“It is clear from these results that the reported Jensen effect is both non-significant (the confidence interval includes zero) and highly unstable (with plausible values or r ranging between -0.5 and 2).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThere did not seem to be large differences in racial composition of the two WAIS samples, and the share of immigrants in the French population increased by about 2 percentage points between 1999 and 2019, which seems much too small to create the large differences reported.
“there did not seem to be large differences in racial composition of the two WAIS samples, and the share of immigrants in the French population has increased by about 2 percentage points between 1999 and 2019, which seems much too small to create the large differences reported here”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the Information subtest, 11 out of 28 items were significantly more difficult in the 2019 sample, and none were significantly easier.
“For the Information subtest, 11 out of 28 items were significantly more difficult in the 2019 sample, and none were significantly easier.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDIF was relatively limited for the Similarities and Comprehension subtests, where item parameters could not be estimated for many items which lacked discriminating power in the current sample; but it was clearly apparent for the three other subtests where more items were available.
“DIF was relatively limited for the Similarities and Comprehension subtests, where item parameters could not be estimated for many items which lacked discriminating power in the current sample; but it was clearly apparent for the three other subtests where more items were available.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOut of the remaining six Comprehension items for which estimation was possible, two items were significantly more difficult in the 2019 sample, and a third item was marginally more difficult.
“Out of the remaining six items for which estimation was possible, two items were significantly more difficult in the 2019 sample, and a third item was marginally more difficult.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe correction for restriction of range inflated the correlation by about 50%, was not entirely clearly justified, and was applied incorrectly.
“It is not entirely clear whether this correction, which inflated the correlation by about 50%, was justified in this case (this approach makes assumptions about how the data were selected, and what the performance decline would have been with a different version of the WAIS), and besides, it was applied incorrectly.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningFor Vocabulary, the negative net effect of bias was partly compensated by some words being easier in the recent sample, more consistent with a change in language frequency patterns than with an absolute decrease in vocabulary skills.
“For Vocabulary, the negative net effect of bias was partly compensated by the fact that some words were easier in the recent sample, more consistent with a change in language frequency patterns than with an absolute decrease in vocabulary skills.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationCorrecting subtest-level estimates for their reliability changed the correlation estimates by less than .02.
“correcting subtest-level estimates for their reliability, as in the second analysis of Woodley of Menie & Dunkel, 2015, changed the correlation estimates by less than .02”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Woodley of Menie & Dunkel, 2015 source
May combine two claims.
FindingreasoningThe reported correlation of r = .72 with biological load is not statistically significant because the authors computed the correlation between performance decline and a composite of five variables including itself.
“It may seem surprising that the reported correlation of r = .72with biological load is not statistically significant: this is because the authors computed the correlation between performance decline and a composite of five variables including itself.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationAdjusting the confidence interval for the corrected correlation by the same correction factor gives r = .83, 95% CI [-0.60, 2.26], or with the appropriate correction for range restriction, r = .74, 95% CI [-0.53, 2.01].
“In the present case, this gives r = .83,95% CI [-0.60, 2.26], or with the appropriate correction for range restriction, r = .74,95% CI [-0.53, 2.01].”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the Arithmetic subtest, 7 out of 20 items were significantly more difficult for the 2019 sample, and none were significantly easier.
“Lastly, for the Arithmetic subtest, 7 out of 20 items were significantly more difficult for the 2019 sample, and none were significantly easier.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe authors performed statistical inference on the corrected correlation as if it had been uncorrected; inflating the correlation with a correction also inflates the risk of error, requiring an adjusted significance test.
“The third problem is that the authors performed statistical inference on the corrected correlation as if it had been uncorrected; but inflating the correlation with a correction also inflates the risk of error, which also requires an adjusted significance test.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor the Comprehension subtest, item parameter estimation was impossible for 12 out of 18 items due to too few failures in the 2019 sample.
“For the Comprehension subtest, item parameter estimation was impossible for 12 out of 18 items due to too few failures in the 2019 sample.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe WAIS-III Information subtest includes 12 items asking about the identity of famous people (five of whom lived and died in the twentieth century), whereas the WAIS-IV version includes only 4 items about famous people, mostly at lower difficulties.
“the WAIS-III Information subtest includes 12 items asking about the identity of famous people (five of which lived and died in the twentieth century), whereas the WAIS-IV version includes only 4 items about famous people, mostly at lower difficulties.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenIn the WAIS-III Comprehension subtest, 7 of the most difficult items concern civic education and economy, whereas the WAIS-IV version includes only 1 such item; conversely, the WAIS-IV version includes 5 items concerning ecology and development aid, topics absent from the WAIS-III.
“In the WAIS-III Comprehension subtest, 7 of the most difficult items concern civic education and economy, whereas the WAIS-IV version includes only 1 such item; conversely, the WAIS-IV version includes 5 items concerning ecology and development aid, topics which were absent from the WAIS-III.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAlmost all biased Information items concerned the identification of famous people; six out of the seven items that required ability at least one standard deviation higher in the 2019 sample involved famous people, with four involving famous writers.
“Almost all biased items concerned the identification of famous people; this was the case for six out of the seven items that required ability at least one standard deviation higher in the 2019 sample, with four of these items involving famous writers.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe content of all five subtests was significantly modified between the WAIS-III and WAIS-IV: the French publisher changed 11 of 18 Comprehension items, 29 of 33 Vocabulary items, 21 of 28 Information items, and 12 of 19 Similarities items.
“the content of all five subtests was significantly modified between the WAIS-III and WAIS-IV: the French publisher changed 11 of the 18 Comprehension items, 29 of the 33 Vocabulary items, 21 of the 28 Information items, and 12 of the 19 Similarities items.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCharacteristic curves for Vocabulary, Information and Arithmetic showed substantial bias against the 2019 sample; bias was somewhat smaller for Similarities, and for Comprehension though this may be due to the very low number of items available for parameter estimation.
“Characteristic curves for Vocabulary, Information and Arithmetic showed substantial bias against the 2019 sample; bias was somewhat smaller for the Similarities subtest, and for the Comprehension subtest though this may be due to the very low number of items available for parameter estimation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRecalculating the Jensen effect using WAIS-IV g-loadings gives a raw Jensen effect of r = .29, p = .361.
“in this case, the raw Jensen effect was only r = .29,p = .361”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe correlations of performance decline with both biological load and g-loadings are substantial overestimates, and both are actually non-significant at the .05 level.
“First, the correlations of performance decline with both biological load and g-loadings are substantial overestimates, and both are actually non-significant at the .05level.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe recent sample had lower total performance on the WAIS-III, and this difference between cohorts was exclusively driven by the five subtests involving Gc, acquired declarative knowledge tied to a specific cultural setting.
“We did find lower total performance on the WAIS-III for a recent sample, but contrary to the classic Flynn effect, this difference between cohorts was exclusively driven by the five subtests involving Gc -acquired declarative knowledge tied to a specific cultural setting.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn Study 1, after excluding five subjects with intellectual disability, the WAIS-IV Full Scale IQ was significantly higher than the WAIS-III Full Scale IQ (M=102.39 vs 98.72, t=4.08, p<.001, dz=0.47).
“| Full scale IQ | 74 | 98.72 (14.16) | 102.39 (14.95) 4.08 | <.001 | 0.47 | *** | |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe subsample of 39 subjects included 19 men and 20 women; socio-economic level appeared to match the composition of the general population.
“This subsample included 19 men and 20 women; socio-economic level was assessed based on the categories of the French national institute of statistics (INSEE), and appeared to match the composition of the general population”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationPrior research has shown that some items in intelligence tests tend to become significantly easier or harder over time (item drifts).
“In line with this idea, prior research has shown that some items in intelligence tests tend to become significantly easier or harder over time (item drifts; e.g. Brand et al., 1989).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Brand et al., 1989 source
May combine two claims.
PremisereasoningDutton and Lynn could not perform any significance test because the publisher reported only averages and standard deviations for the whole sample, while the design was within-subjects.
“The second methodological reason to reserve judgment is the fact that the authors could not perform any significance test: the publisher reported only averages and standard deviations for the whole sample in the test manual, but the design was within-subjects (in which case inferential statistics require access to the raw data to compute the variance of difference scores).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationSubtests primarily reflecting Gc intrinsically depend on culture-based declarative knowledge, and culture as assessed by these tests changes over time, making them especially likely to develop DIF.
“On the other hand, subtests primarily reflecting Gc intrinsically depend on culture-based declarative knowledge, and culture as assessed by these tests changes over time (e.g.Pietschnig et al., 2013), making them especially likely to develop DIF (see Beaujean & Osterlind, 2008;Pietschnig et al., 2013;Wicherts et al., 2004).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningAll subtests of the WAIS do not equally assess intelligence: VCI subtests are largely reflections of culture-based declarative knowledge, whereas PRI subtests depend more on inductive reasoning and visuo-spatial ability.
“In other words, all subtests of the WAIS do not equally assess intelligence: subtests of the VCI (which require e.g.defining words or remembering trivia) are largely reflections of culture-based declarative knowledge, whereas subtests of the PRI depend more on inductive reasoning and visuo-spatial ability.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataGeographic regions in this subsample were somewhat unbalanced, with 28 of the 39 subjects coming from southern France.
“Geographic regions in this subsample were somewhat unbalanced, with 28 of the 39 subjects coming from southern France.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWicherts and colleagues (2004) found that measurement bias often affected subtests with a substantial weight of culture-based declarative knowledge; in their study with the WAIS, the two subtests with substantial measurement bias across cohorts were Similarities and Comprehension, both VCI subtests.
“Wicherts and colleagues (2004) found that this measurement bias often affected subtests with a substantial weight of culture-based declarative knowledge; in their study with the WAIS, the two subtests with substantial measurement bias across cohorts were Similarities and Comprehension, both subtests of the VCI.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wicherts et al., 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThere were missing values for the Digit Symbol Coding subtest, yielding unequal sample sizes across tests.
“There were missing values for the Digit Symbol Coding subtest, yielding unequal sample sizes across tests.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningCareful examination of the data reported by Dutton and Lynn (Table 3) suggests that the difference between WAIS-III and WAIS-IV was mainly driven by subtests depending on Gc (Vocabulary, Comprehension, Information), suggesting that it did not reflect a general decline of intelligence.
“Critically, careful examination of the data reported by Dutton and Lynn (Table 3) suggests that the difference between WAIS-III and WAIS-IV was mainly driven by subtests depending on Gc (Vocabulary, Comprehension, Information), suggesting that it did not reflect a general decline of intelligence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningSubtests primarily reflecting Gf (e.g., Matrix Reasoning) or Gv (e.g., Block Design) are based on abstract materials which should be relatively timeless; the same is true for subtests reflecting Gs and Gsm.
“Subtests primarily reflecting Gf, such as Matrix Reasoning, or Gv, such as Block Design, are based on abstract materials which should be relatively timeless; the same is true for subtests reflecting Gs and Gsm.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWoodley of Menie and Dunkel (2015) insisted that the decline was likely due to biological causes.
“A commentary of Woodley of Menie and Dunkel (2015) insisted that this decline was likely due to biological causes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Woodley of Menie and Dunkel (2015) source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningTo control for possible confounding, the DIF analysis equated the range of ability by removing subjects of the 1999 sample who performed lower or higher than all subjects of the 2019 sample; the final 1999 sample size was n = 767.
“To control for this possibility, a preliminary step for the DIF analysis was to equate the range of ability in the two samples by removing subjects of the 1999 sample who performed lower or higher than all subjects of the 2019 sample.The final sample size for the 1999 sample was n = 767.”
Quote in the paperSubstantial claim- Rests on an assumption: The 1999 WAIS-III normative sample is an appropriate reference for comparing item functioning with the 2019 sample.
May combine two claims.
InterpretationreasoningThese changes would not be sufficient, in and of themselves, to explain the difference reported by Dutton and Lynn, but they could inflate the difference between WAIS-III and WAIS-IV.
“These changes would not be sufficient, in and of themselves, to explain the difference reported by Dutton and Lynn 1 , but they could inflate the difference between WAIS-III and WAIS-IV”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
InterpretationcitationThe easier Vocabulary items are compatible with evolving patterns of word use in the language.
“compatible with the idea of evolving patterns of word use in the language (e.g.Brand, 1989).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brand, 1989 source
Classified as probably not a substantial claim.
Study design and conductcitationInferential statistics were obtained using the item parameter replication method with the correction proposed by Cervantes.
“Inferential statistics were obtained using the item parameter replication method (Oshima et al., 2006), with the correction proposed by Cervantes (2012Cervantes ( , 2017a; see also Clark & LaHuis, 2012).”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe latter property meant that the ability estimate was not confounded with measurement bias in the items being tested, and the same ability estimate was used to test DIF in the five subtests.
“The latter propriety meant that the ability estimate was not confounded with measurement bias in the items being tested, and that the same ability estimate was used to test DIF in the five subtests.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe Flynn effect is supposed to be a latent increase at the first level of g, especially prevalent for the second level factor of Gf, and this increase is expected not to be caused by measurement bias at the third or fourth levels.
“The Flynn effect is supposed to be a latent increase at the first level of g, especially prevalent for the second level factor of Gf; and this increase is expected not to be caused by measurement bias at the third or fourth levels (see Flynn, 2009a).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Flynn, 2009a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe validity sample was collected by psychologists hired by the publisher, who received specific training, and protocols were checked for compliance and correct scoring.
“All psychologists received specific training from the publisher prior to data collection; each psychologist sent back protocols to the publisher to ensure that they complied with data collection instructions and that the test was scored correctly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataBayes Factors were computed for the combined sample to represent the likelihood of the alternative hypothesis of a difference between WAIS-III and WAIS-IV over the null, with uniform priors.
“Taking advantage of the increased sample size for this combined sample, we also computed Bayes Factors representing the likelihood of the alternative hypothesis of a difference between WAIS-III and WAIS-IV over the null (with uniform priors).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenDutton and Lynn's (2015) interpretation considers all subtests of the WAIS as interchangeable measures of intelligence.
“Besides methodological issues, Dutton and Lynn's (2015) interpretation considers all subtests of the WAIS as interchangeable measures of intelligence.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
May combine two claims.
PremisecitationStudies using IRT have shown that item parameters do vary across cohorts, with drifts of item difficulty for some items and loss of discriminating power for others, especially for tests involving culture-based knowledge such as vocabulary and mathematics.
“Studies using this approach have shown that item parameters do vary across cohorts, with drifts of item difficulty for some items and loss of discriminating power for others, especially for tests involving culture-based knowledge such as vocabulary and mathematics (Beaujean & Osterlind, 2008;Pietschnig et al., 2013).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStudy 2 subjects were included using quotas on gender, age, and socio-economic level.
“As in Study 1, subjects were included using the method of quotas, with quotas on gender, age, and socio-economic level.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIf the WAIS-III items have become outdated, subjects performing the test now would perform lower than they would on the more recent WAIS-IV, and comparatively lower than the normative sample who completed the WAIS-III when it was first designed, creating the illusion of a score decline.
“If the WAIS-III items have become outdated, it is easy to understand why subjects performing the test now would perform lower than they would on the more recent WAIS-IV, and comparatively lower than the normative sample who completed the WAIS-III when it was first designed, creating the illusion of a score decline.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationPerformance can be represented as a hierarchical model with four levels: latent general intelligence g; latent broad dimensions such as Gf, Gc, Gq, Gs, Gsm; observed performance on subtests; and observed performance on items.
“Performance can be represented as a hierarchical model with four levels: on the top is latent general intelligence, g; on the second level are latent broad dimensions of intelligence such as Gf, Gc, Gq, Gs and Gsm; on the third level is observed performance on the various subtests that serve to estimate latent dimensions; and on the fourth level is observed performance on the specific items that”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Wicherts et al., 2004 source
- cites Wicherts, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenEach experimenter collected 2 to 5 protocols, and each subject completed the WAIS-III and WAIS-IV with the same experimenter.
“Each experimenter collected 2 to 5 protocols, and each subject completed the WAIS-III and WAIS-IV with the same experimenter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe counterbalancing with test order was performed correctly: 20 younger and 20 older subjects performed the WAIS-III first, whereas 21 younger and 18 older adults performed the WAIS-IV first.
“Note that the counterbalancing with test order was performed correctly: 20 younger and 20 older subjects performed the WAIS-III first, whereas 21 younger and 18 older adults performed the WAIS-IV first.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe conversion from raw scores to Wechsler standard scores is only a rough approximation because the conversion is nonlinear and varies as a function of age and level of ability.
“Note that this conversion is only a rough approximation, as the conversion from raw scores to standard scores is not linear (it uses a normalized scale, which means multiple raw scores yield the same standard score) and varies as a function of age and level of ability (we used the norms for 35 to 44 year-olds on the WAIS-III as a point of reference corresponding to the mean age of our sample).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStudy 2 subjects completed both the WAIS-III and WAIS-IV in counterbalanced order (WAIS-III first: n = 42; WAIS-IV first: n = 39).
“Subjects completed both the WAIS-III and WAIS-IV (Wechsler 2000(Wechsler , 2011) ) in counterbalanced order (WAIS-III first: n = 42; WAIS-IV first: n = 39).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe lack of statistical tests in Dutton and Lynn's study made the point that the difference was driven by Gc subtests uncertain.
“Although the lack of statistical tests in their study made this point uncertain, such a result would severely limit interpretation of the findings in terms of a”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenData collection in Study 2 was performed by 24 young psychologists as part of their final graduate training, all of whom had received extensive training with Wechsler scales.
“Data collection was performed by 24 young psychologists as a part of their final graduate training (we reasoned that their level of expertise with the WAIS-IV would be similar to that of psychologists paid to collect the data during WAIS-IV development in Study 1); all had received extensive training with Wechsler scales.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningStudy 2 was designed as a replication of Study 1, with data collection planned for the same sample size.
“Study 2 was designed as a replication of Study 1, meaning data collection was planned for the same sample size.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe ability estimate used for DIF was an index of general intelligence computed as the average of standardized performance on all WAIS-III subtests, excluding the five subtests being tested for DIF, to avoid measurement bias influencing the ability estimate.
“We used as an estimate of subject ability an index of general intelligence, computed as the average of standardized performance on all subtests of the WAIS-III (with standardization performed conjointly over the two samples), excluding the five subtests being tested for DIF (to avoid the possibility of measurement bias influencing the ability estimate).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe Symbol Search result suggests an increase in processing speed between the WAIS-III and WAIS-IV samples, even more incompatible with a negative Flynn effect.
“suggesting an increase in processing speed between the WAIS-III and WAIS-IV samples, even more incompatible with a negative Flynn effect.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA likely possibility for why differences appeared only in the older-adults-WAIS-III-first subgroup is random variation due to the small sample size (20 subjects in that condition).
“A likely possibility is random variation due to the small sample size (there were only 20 subjects in this particular condition)”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe corrected-sample results confirmed that the observed difference between WAIS-III and WAIS-IV was almost exclusively driven by Gc subtests, with no difference for most other subtests, including Matrix Reasoning, working memory, and processing speed.
“These results confirmed the prior conclusion that the observed difference between WAIS-III and WAIS-IV was almost exclusively driven by Gc subtests, whereas no difference appeared for most other subtests, including the Gf subtest of Matrix Reasoning, as well as working memory and processing speed subtests.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn sum, there was a significant difference between WAIS-III and WAIS-IV in FSIQ, but it was mostly attributable to a difference in subtests with a large Gc loading: incompatible with a reversal of the Flynn effect classically observed to a greater extent on Gf subtests and also incompatible with a general decline of intelligence, but compatible with measurement bias on subtests involving culture-
“In sum, there was a significant difference between WAIS-III and WAIS-IV in FSIQ, but it was mostly attributable to a difference in subtests with a large Gc loading: incompatible with a reversal of the Flynn effect classically observed to a greater extent on Gf subtests and also incompatible with a general decline of intelligence, but compatible with measurement bias on subtests involving culture-”
Quote in the paperSubstantial claim- Rests on an assumption: The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
- Rests on an assumption: The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenStudy 2 first series of analyses used within-subjects t-tests, with dz effect sizes and FDR correction for multiple comparisons.
“As in Study 1, the first series of analyses testing the difference between WAIS-III and WAIS-IV used within-subjects t-tests, with dz effect sizes and FDR correction for multiple comparisons.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationown dataThis finding questioned the meaning and stability of the difference between WAIS-III and WAIS-IV for Arithmetic and Block Design, and invited replication in Study 2.
“In any case, this finding questioned the meaning and the stability of the difference between WAIS-III and WAIS-IV for these two particular subtests, and invited replication in Study 2.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe first finding of Study 1 was that the sample composition was poorly suited to address the specific question of Flynn effects, due to a design with two discrete age groups and the presence of five individuals with intellectual disability (6.3% of the sample) who completely failed some subtests of the WAIS-III.
“The first finding of Study 1 was that the sample composition was poorly suited to address the specific question of Flynn effects, due to a design with two discrete age groups (Figure 1), and the presence of five individuals with intellectual disability (6.3% of the sample) who completely failed some subtests of the WAIS-III.”
Quote in the paperSubstantial claim- Rests on an assumption: The publisher's validity sample was collected only to ensure that the WAIS-III correlated with the WAIS-IV, and was never intended to be analyzed for other purposes.
May combine two claims.
PremisecitationIntelligence tests, including the WAIS, do not demonstrate measurement invariance over time; the baseline difficulty of a given subtest can change over time, even when controlling for ability.
“In line with this idea, intelligence tests -including the WAIS -do not demonstrate measurement invariance over time: in particular, the baseline difficulty of a given subtest can change over time, even when controlling for ability (Wicherts et al., 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wicherts et al., 2004 source
Classified as probably not a substantial claim.
PremisecitationDutton and Lynn (2015) published a study claiming that intelligence scores in France are decreasing.
“In 2015, Dutton and Lynn published a study claiming that intelligence scores in France are decreasing.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
May combine two claims.
PremisecitationTwo studies found that observed intelligence scores changed over several decades, while latent ability as estimated from IRT remained near-constant.
“When considering total performance, two studies found that observed intelligence scores changed over several decades, while latent ability as estimated from IRT remained near-constant (Beaujean & Osterlind, 2008;Beaujean & Sheng, 2010), confirming both that item properties can change without corresponding changes of ability, and that this can create the illusion of ability changes over time.”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationDutton and Lynn concluded that intelligence had declined from 1999 to 2009, a reversal of the Flynn effect.
“Dutton and Lynn concluded that intelligence had declined from 1999 to 2009 -hence a reversal of the Flynn effect (Flynn, 1984;Rundquist, 1936).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Flynn, 1984 source
- cites Rundquist, 1936
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEach subject completed both the WAIS-III and WAIS-IV in counterbalanced order (40 subjects performed the WAIS-III first and 39 performed the WAIS-IV first).
“Each subject completed both the WAIS-III and WAIS-IV in counterbalanced order (40 subjects performed the WAIS-III first and 39 performed the WAIS-IV first).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn the present case, the discrepancy in discriminating power for low-performing subjects largely contributed to the observed difference between WAIS-III and WAIS-IV for Matrix Reasoning and Block Design, potentially biasing the results.
“in the present case, it largely contributed to the observed difference between WAIS-III and WAIS-IV for these two subtests (Table 1), potentially biasing the results.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningItem 15 involves customs that have practically disappeared in France in recent years due to the opening of borders within the European Union, and the French word for the other concept required by this item is now explicitly labeled as dated in many dictionaries.
“this makes particular sense because this item involves customs, which have practically disappeared in France in recent years due to the opening of borders within the European Union, and the French word for the other concept required by this item is now explicitly labeled as”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted). May combine two claims.
InterpretationcitationThe results of Dutton and Lynn suggest both that there is no decline for the first level of g, and a limited decline for the second level but only for Gc; and that this decline could be caused, not by an actual change of latent ability, but by measurement bias at the fourth level representing items.
“By contrast, the results of Dutton and Lynn suggest both that there is no decline for the first level of g, and a limited decline for the second level but only for Gc; and that this decline could be caused, not by an actual change of latent ability, but by measurement bias at the fourth level representing items.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationDutton and Lynn (2015) compared performance averages reported in the test manual for the validity sample and observed that these subjects had higher standardized scores on the WAIS-IV than on the WAIS-III.
“Dutton and Lynn (2015) compared performance averages reported in the test manual for this validity sample, and observed that these subjects had higher standardized scores on the WAIS-IV (in reference to its 2009 normative sample) than on the WAIS-III (in reference to its 1999 normative sample).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dutton and Lynn (2015) source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataDue to the low sample size in the 2019 sample, only difficulty parameters were examined, with the discrimination parameter fixed to 1; the one-parameter logistic model was used for items scored 0-1, and the partial credit model for items scored 0-1-2.
“Due to the low sample size in the 2019 sample, we only examined difficulty parameters, with the discrimination parameter fixed to 1: the one-parameter logistic model (1-PL; see Birnbaum, 1968;Rasch, 1960) was used for items scored 0-1, and the partial credit model (PCM with a slope fixed to 1; Masters, 1982) was used for items scored 0-1-2.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Birnbaum, 1968
- cites Rasch, 1960
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Masters, 1982 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSubjects were recruited using quotas on age, gender, and socio-economic level.
“Subjects were recruited using the method of quotas, with quotas on age, gender, and socio-economic level.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningGiven the limited sample size, the absence of statistical tests makes it unclear whether the difference between WAIS-III and WAIS-IV was significantly greater than chance, and if so, which subtests were affected.
“Given the limited sample size, this absence of statistical tests makes it unclear whether the difference between WAIS-III and WAIS-IV was in fact significantly greater than chance, and if so, which subtests of the WAIS were affected.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe combined datasets of Study 1 and Study 2 were firmly incompatible with the possibility of a negative Flynn effect reflecting a general decrease of intelligence or a larger decrease for Gf subtests, and instead confirmed that performance decreased specifically for the subtests involving declarative knowledge.
“In sum, the combined datasets of Study 1 and Study 2 were firmly incompatible with the possibility of a negative Flynn effect reflecting a general decrease of intelligence or a larger decrease for Gf subtests, and instead confirmed that performance decreased specifically for the subtests involving declarative knowledge.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe WAIS is not ideal to test for DIF due in particular to sequential dependencies between items, which could especially bias item parameters for the final items of a subtest.
“This is all the more true that the WAIS is not ideal to test for DIF (due in particular to the presence of sequential dependencies between items, with a subtest being interrupted when subjects fail several items in a row; this could especially bias item parameters for the final items of a subtest).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThis was the case for all subtests except perhaps Similarities, where differential test functioning between the 1999 and 2019 sample accounted for about one third the size of the observed difference between WAIS-III and WAIS-IV.
“This was the case for all subtests except perhaps for Similarities, where differential test functioning between the 1999 and 2019 sample accounted for about one third the size of the observed difference between WAIS-III and WAIS-IV.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThere is no obvious explanation for the Similarities discrepancy, though Similarities was also the subtest with the least DIF, which is more compatible with the nonsignificant difference found in Study 1.
“There does not seem to be an obvious explanation for this discrepancy, though we note that Similarities was also the subtest with the least DIF, which is more compatible with the nonsignificant difference found in Study 1.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationWoodley of Menie and Dunkel (2015) argued that the results of Dutton and Lynn (2015) indicated a biological origin for the decline of performance between WAIS-III and WAIS-IV in French subjects.
“Woodley of Menie and Dunkel (2015) argued that the results of Dutton and Lynn (2015) indicated a biological origin for the decline of performance between WAIS-III and WAIS-IV in French subjects.”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationWoodley of Menie and Dunkel reported r = .83 for the correlation between the amount of decline on a subtest and its g-loading.
“they reported r = .83for this effect.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Woodley of Menie and Dunkel (2015) source
May combine two claims.
PremisecitationPISA surveys routinely point to significant inequalities in the academic skills of French pupils, and their average level of mathematics performance has declined since the early 2000s.
“results of the large-scale PISA surveys (performed on about 7.000 pupils) routinely point to significant inequalities in the academic skills of French pupils, and their average level of mathematics performance has declined since the early 2000s (e.g.OECD, 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites OECD, 2019 source
May combine two claims.
Interpretationown dataThe same was true when combining the two datasets, and Bayesian evidence was clearly in favor of the null for Gv and Gf subtests, in line with a difference on subtests assessing culture-dependent declarative knowledge but incompatible with the existence of a general decline of intelligence or a negative Flynn effect.
“The same was true when combining the two datasets, and Bayesian evidence was clearly in favor of the null for Gv and Gf subtests, in line with a difference on subtests assessing culture-dependent declarative knowledge but incompatible with the existence of a general decline of intelligence or a negative Flynn effect.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIt is not entirely meaningful to interpret the difference between WAIS-III and WAIS-IV based on differential test functioning for the WAIS-III, given that the WAIS-IV is based on very different materials.
“It is also not entirely meaningful to interpret the difference between WAIS-III and WAIS-IV based on differential test functioning for the WAIS-III, given that the WAIS-IV is based on very different materials.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningItem 17 involves the process for obtaining rubber, which may be less obvious to subjects now than it was over 20 years ago.
“this item involves the process for obtaining rubber, which may be less obvious to subjects now than it was over 20 years ago.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe significant Block Design difference in the other dataset may have been a spurious effect partly caused by the particular sampling with discrete age groups.
“since this difference existed only for one of four subgroups in Study 1, the significant difference in the other dataset may have been a spurious effect partly caused by the particular sampling with discrete age groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe interpretation of heritability estimates poses well-known issues and has been criticized elsewhere.
“The interpretation of heritability estimates poses well-known issues and has been criticized elsewhere (e.g.Dickens & Flynn, 2001;Kan et al., 2013).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis principle generalizes to all comparisons between samples, not just intelligence fluctuations over time.
“In other words, this principle generalizes to all comparisons between samples, not just intelligence fluctuations over time”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThese are not precise estimates, but a rough approximation based on extrapolating WAIS-III norms, computed just to get a sense of relative effect sizes.
“We reiterate that these are not precise estimates, but a rough approximation based on extrapolating WAIS-III norms, computed just to get a sense of relative effect sizes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe low sample size for IRT analyses was attenuated by comparing item parameters to the much larger WAIS-III standardization sample (n = 767 after matching for ability) and by using scores on the rest of the WAIS-III as an index of subject ability, but estimates in Table 5 may be relatively unstable.
“This issue was attenuated as much as possible by comparing item parameters for DIF analyses to the much larger standardization sample for the WAIS-III retrieved from the publisher (n = 767 after matching for ability), and by using scores on the rest of the WAIS-III as an index of subject ability, which made parameter estimation considerably simpler; but estimates presented in Table 5 may be RelATI”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe hypothesis that a biological factor influenced culturally-loaded subtests due to a genetically-driven cultural decrease would be almost impossible to falsify.
“such a hypothesis would be almost impossible to falsify”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAll three discrepancies between Studies 1 and 2 may represent random variation due to limited sample sizes.
“All three discrepancies between Studies 1 and 2 may represent random variation due to limited sample sizes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSample size was still low for IRT-based analyses.
“However, sample size was still low for IRT-based analyses.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe high average ability of the sample did not bias the analyses: there was no ceiling effect, scores were still in the normal range, had adequate dispersion, and were not skewed.
“Importantly, this high average ability did not bias the analyses: there was no ceiling effect, and scores were still in the normal range (the lowest FSIQ was 79), had adequate dispersion and were not skewed (all skewness coefficients were below |1|).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningCombining the datasets for Study 1 and Study 2 partly answered the sample-size issue, although this was not a perfect strategy because the two samples were separated by a little under 10 years.
“Combining the datasets for Study 1 and Study 2 also partly answered this issue, although this was not a perfect strategy either (with the two samples being separated by a little under 10 years, even though their conclusions converged).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe results of Study 2 replicated the conclusions of Study 1: there was a significant difference of FSIQ between WAIS-III and WAIS-IV, but it was exclusively driven by the five subtests depending on Gc; no difference appeared for Gv or Gf subtests.
“The results of Study 2 replicated the conclusions of Study 1: there was a significant difference of FSIQ between WAIS-III and WAIS-IV, but it was exclusively driven by the five subtests depending on Gc; no difference appeared for Gv or Gf subtests.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe pattern of results is entirely distinct from the Flynn effect, which represents an increase in general intelligence, especially Gf performance, accompanied by much smaller changes on Gc.
“This pattern is entirely distinct from the Flynn effect, which represents an increase in general intelligence, and especially in Gf performance, accompanied by much smaller changes on Gc (Pietschnig & Voracek, 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pietschnig & Voracek, 2015 source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe pattern cannot reasonably be labeled a negative Flynn effect without extending the definition of the Flynn effect to the point where any difference between cohorts could be called a Flynn effect and where it would no longer be useful as a heuristic concept.
“Hence it is our conviction that this pattern reflects substantially different mechanisms and cannot reasonably be labeled a”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe limitation of this study was its relatively low sample size.
“The limitation of this study was its relatively low sample size.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe g loading of a subtest can be viewed as an index of its cognitive complexity; a subtest with a higher g-loading is more complex, which means it may be affected to a greater extent not only by biological factors, but also by cultural factors.
“At its core, the g loading of a subtest can be viewed as an index of its cognitive complexity (Flynn, 2013; see also Gottfredson, 2016): a subtest with a higher g-loading is more complex, which means it may be affected to a greater extent not only by biological factors, but also by cultural factors (see especially Dickens & Flynn, 2001;Kan et al., 2013).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Interpretationown dataThe increase in Symbol Search performance is incompatible with a general decline of intellectual ability, and this result was unstable, with Bayesian analyses failing to find a substantial difference.
“The third discrepancy was the finding of an increase in performance for the Symbol Search subtest, a measure of Gs; although processing speed may not be the best index of general intelligence, this is even more incompatible with a general decline of intellectual ability.”
- Also stated in: § 3.3 Discussion · plain
“this result was also more unstable, with Bayesian analyses failing to find a substantial difference.”
Quote in the paperNot a substantial claim- Also stated in: § 3.3 Discussion · plain
May combine two claims.
Study design and conductown dataThe high average ability was accounted for in analyses of DIF by trimming the normative sample to match the composition of the current sample and by using item response theory, which estimates item parameters using subjects of all available ability levels.
“This point was also accounted for in analyses of DIF, where the normative sample was trimmed to match the composition of the current sample (see section 3.1.3),and where we used item response theory which estimates item parameters using subjects of all available ability levels.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationWoodley of Menie and Dunkel reported r = .72 for the correlation between the amount of decline on a subtest and its biological load composite.
“the reported correlation was r = .72.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Woodley of Menie and Dunkel (2015) source
May combine two claims.
InterpretationcitationThe current results constitute a reminder that intelligence scores are not pure reflections of intelligence and have multiple determinants, some of which can be affected by cultural factors that do not reflect intelligence itself.
“Beyond the specific case of average intelligence in France, the current results constitute a reminder that intelligence scores are not pure reflections of intelligence and have multiple determinants, some of which can be affected by cultural factors that do not reflect intelligence itself.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIt is impossible to adjudicate between the two possibilities of a restricted/compensated decline versus a real decline without having the 1999 sample perform the WAIS-IV.
“It is impossible to adjudicate between these two possibilities (which would require having the 1999 sample perform the WAIS-IV)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataFor the first analysis testing which subtests demonstrated a difference between WAIS-III and WAIS-IV, low sample size was not a major problem, given that Study 2 corroborated Study 1.
“For the first analysis testing which subtests demonstrated a difference between WAIS-III and WAIS-IV, this was not a major problem, given that Study 2 corroborated Study 1.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe conclusion is in line with a tradition of studies attributing fluctuations of intelligence scores to methodological biases, especially as they relate to cultural item content.
“This conclusion is in line with a tradition of studies attributing fluctuations of intelligence scores to methodological biases, especially as they relate to [cultural] item content”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisereasoningThere is no indication that the Jensen effect is biological: if something correlates with g-loadings, it does not mean that this something is biological.
“In the case of the Jensen effect, there is no indication that it is biological: if something correlates with gloadings, it does not mean that this something is biological.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThere was no negative Flynn effect in France, in the sense of a general decrease of intelligence or a decrease in the ability to perform logical reasoning.
“The results of both Study 1 and Study 2 unambiguously indicated that there was no negative Flynn effect in France, in the sense of a general decrease of intelligence or a decrease in the ability to perform logical reasoning”
- Also stated in: § 5. General Discussion · plain
“In short, the conclusion that can be drawn from a comparison of WAIS-III and WAIS-IV is that over the last two decades, there has been no decline of reasoning abilities in the French population”
Quote in the paperSubstantial claim- Also stated in: § 5. General Discussion · plain
The paper relies on this without support.
The WAIS-III and WAIS-IV normative samples are valid and comparable reference points for estimating ability differences across time.
“Performance on each subtest was computed in reference to the respective normative samples of each version (N = 1104 for the WAIS-III, collected in 1999, and N = 876 for the WAIS-IV, collected in 2009).”
The paper relies on this without support.
The raw data for the validity sample provided by the publisher are accurate and complete, except for the two errors the authors corrected.
“The French publisher authorized access and use of the raw data for the validity sample collected to assess convergent validity between the WAIS-III and WAIS-IV.”
The paper relies on this without support.
The publisher's validity sample was collected only to ensure that the WAIS-III correlated with the WAIS-IV, and was never intended to be analyzed for other purposes.
“From the point of view of the publisher, recruiting a younger and an older group was a reasonable choice: this validity sample was collected only to ensure that the WAIS-III correlated with the WAIS-IV, and the publisher wished to ensure that this was the case for both younger and older adults”
The paper relies on this without support.
The 1999 WAIS-III normative sample is an appropriate reference for comparing item functioning with the 2019 sample.
“The second purpose of Study 2 was to investigate DIF between the 2019 sample collected here (N = 81) and the reference 1999 normative sample for the WAIS-III (N = 1104).”
The paper relies on this without support.
The 1999 and 2019 samples are comparable enough to the French population at their respective times that observed differences can be generalized to the French population.
“This might be a reflection of a (positive) Flynn effect (with the WAIS-IV normative sample being almost ten years old), but we think it much more likely that this was a sampling bias due to recruitment by word of mouth as performed by people with a university level of education.”
The paper relies on this without support.
The WAIS-III and WAIS-IV subtests measure the same broad abilities sufficiently for cross-version comparisons.
“There were significant procedural differences between the WAIS-III and WAIS-IV versions of Symbol Search, but it is unclear how this would explain the observed difference”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Not confirmedF(1, 70) = 4.34reported p = .04 · recomputed p = .041
“F(1, 70) = 4.34, p = .040”
- ConsistentF(1, 70) = 5.6reported p = .021 · recomputed p = .021
“F(1, 70) = 5.60, p = .021”
- ConsistentF(1, 70) = 4.97reported p = .029 · recomputed p = .029
“F(1, 70) = 4.97, p = .029”
- ConsistentF(1, 70) = 3.3reported p = .073 · recomputed p = .074
“F(1, 70) = 3.30, p = .073”
- Consistentz = 1.22reported p = .222 · recomputed p = .222
“,Z = 1.22,p = .222”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Combined analysis says only VCI differs despite significant FSIQ
MinorThe summary says VCI was the only summary index with a significant difference between versions, but Table 4 also marks full-scale IQ significant.
“The same pattern emerged for summary indices, with a significant difference between versions only for the VCI reflecting”
“| Full scale IQ | 152 32.22 | .18 | <.001 | *** | 207855 | |”
Direction of the Symbol Search difference is reversed
MinorThe combined-results narrative says Symbol Search performance was higher on the WAIS-IV. Table 3 shows the opposite direction in Study 2, which the paper identifies as driving the combined effect.
“There were no differences for the other subtests, apart from a slightly higher performance in the WAIS-IV version of Symbol Search, driven by the Study 2 sample.”
“| Symbol search | 81 | 12.22 (2.93) | 11.23 (3.15) | -3.28 | 0.36 | .002 | ** |”
Study 2 average FSIQ disagrees with Table 3
MinorThe discussion gives an average FSIQ of 111.16, whereas Table 3 reports a WAIS-IV full-scale IQ mean of 111.41 for the Study 2 sample.
“Descriptive statistics indicated that average ability was higher than the WAIS-IV norm in this sample (Table 3; average FSIQ = 111.16).”
“| Full scale IQ | 81 | 106.80 (11.87) | 111.41 (13.55) | 4.22 | 0.47 | <.001 | *** |”
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
Lakens, D. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00863 · Cited by 10,303 · see citing works
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012 · see citing works
Probabilistic Models for Some Intelligence and Attainment Tests
Psychology, M. (1961) · Information and Control · doi:10.1016/s0019-9958(61)80061-2 · Cited by 6,936 · see citing works
A Rasch model for partial credit scoring
Masters, G. N. (1982) · Psychometrika · doi:10.1007/bf02296272 · Cited by 3,782 · see citing works
PISA 2018 Results (Volume I): What Students Know and Can Do
OECD (2019) · PISA · doi:10.1787/5f07c754-en · Cited by 2,350 · see citing works
(1968) · Addison-Wesley eBooks · Cited by 2,001 · see citing works
Carpenter, P. A., Just, M. A., & Shell, P. (1990) · Psychological Review · doi:10.1037/0033-295x.97.3.404 · Cited by 1,648 · see citing works
McGrew, K. S. (2009) · Intelligence · doi:10.1016/j.intell.2008.08.004 · Cited by 1,354 · see citing works
The mean IQ of Americans: Massive gains 1932 to 1978.
Flynn, J. R. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.29 · Cited by 1,206 · see citing works
Heritability estimates versus large environmental effects: The IQ paradox resolved.
Dickens, W. T., & Flynn, J. R. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.346 · Cited by 663 · see citing works
Speed of Information-Processing and Intelligence:
Vernon, P. A. (1988) · Cited by 662 · see citing works
What Is Intelligence?: Beyond the Flynn Effect
Flynn, J. R. (2007) · doi:10.1017/cbo9780511605253 · Cited by 590 · see citing works
You can't take it with you: Why ability assessments don't cross cultures.
Greenfield, P. M. (1997) · American Psychologist · doi:10.1037/0003-066x.52.10.1115 · Cited by 495 · see citing works
Handbook of Human and Social Conditions in Assessment
(2016) · doi:10.4324/9781315749136 · Cited by 447 · see citing works
The Area between Two Item Characteristic Curves
Raju, N. S. (1988) · Psychometrika · doi:10.1007/bf02294403 · Cited by 418 · see citing works
Zumbo, B. D. (2007) · Language Assessment Quarterly · doi:10.1080/15434300701375832 · Cited by 395 · see citing works
Ackerman, T. A. (1992) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1992.tb00368.x · Cited by 389 · see citing works
The Flynn effect: A meta-analysis.
Trahan, L. H., Stuebing, K. K., Fletcher, J. M., & Hiscock, M. (2014) · Psychological Bulletin · doi:10.1037/a0037173 · Cited by 364 · see citing works
The complexity continuum in the radex and hierarchical models of intelligence
Marshalek, B., Lohman, D. F., & Snow, R. E. (1983) · Intelligence · doi:10.1016/0160-2896(83)90023-5 · Cited by 353 · see citing works
One Century of Global IQ Gains: A Formal Meta-Analysis of the Flynn Effect (1909–2013)
Pietschnig, J., & Voracek, M. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615577701 · Cited by 316 · see citing works
Benson, N., Hulac, D. M., & Kranzler, J. H. (2010) · Psychological Assessment · doi:10.1037/a0017767 · Cited by 309 · see citing works
Demographic Effects and Use of Demographically Corrected Norms with the WAIS-III and WMS-III
Heaton, R., Taylor, M., & Manly, J. (2003) · Elsevier eBooks · doi:10.1016/b978-012703570-3/50010-9 · Cited by 277 · see citing works
Sundet, J. M., Barlaug, D., & Torjussen, T. M. (2004) · Intelligence · doi:10.1016/s0160-2896(04)00052-2 · Cited by 228 · see citing works
Blair, C., Gamson, D. A., Thorne, S. L., & BAKER, D. (2004) · Intelligence · doi:10.1016/j.intell.2004.07.008 · Cited by 219 · see citing works
Clinical Interpretation of the WAIS-III and WMS-III
Tulsky, D., Saklofske, D., Chelune, G., Heaton, R., Ivnik, R., Bornstein, R., Prifitera, A., & Ledbetter, M. (2003) · Elsevier eBooks · doi:10.1016/b978-0-12-703570-3.x5000-7 · Cited by 211 · see citing works
Are intelligence tests measurement invariant over time? Investigating the nature of the Flynn effect
Wicherts, J. M., Dolan, C. V., Hessen, D. J., Oosterveld, P., van Baal, G. C. M., Boomsma, D. I., & Span, M. M. (2004) · Intelligence · doi:10.1016/j.intell.2004.07.002 · Cited by 211 · see citing works
Flynn effect and its reversal are both environmentally caused
Bratsberg, B., & Rogeberg, O. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718793115 · Cited by 199 · see citing works
Keith, T. Z., Fine, J. G., Taub, G. E., Reynolds, M. R., & Kranzler, J. H. (2006) · Journal of International Crisis and Risk Communication Research · Cited by 197 · see citing works
Secular declines in cognitive test scores: A reversal of the Flynn Effect
Teasdale, T. W., & Owen, D. R. (2008) · Intelligence · doi:10.1016/j.intell.2007.01.007 · Cited by 185 · see citing works
Keith (2006) · doi:10.1080/02796015.2006.12088005 · Cited by 162 · see citing works
IQ gains over time: Toward finding the causes.
Flynn, J. R. (1998) · American Psychological Association eBooks · doi:10.1037/10270-001 · Cited by 161 · see citing works
The negative Flynn Effect: A systematic literature review
Dutton, E., van der Linden, D., & Lynn, R. (2016) · Intelligence · doi:10.1016/j.intell.2016.10.002 · Cited by 160 · see citing works
Charles, E. P. (2005) · Psychological Methods · doi:10.1037/1082-989x.10.2.206 · Cited by 154 · see citing works
Culture and children's intelligence : cross-cultural analysis of the WISC-III
Georgas, J. G., Weiss, L., van de Vijver, F. J. R., & Saklofske, D. (2003) · Data Archiving and Networked Services (DANS) · Cited by 149 · see citing works
Canivez, G. L., & Watkins, M. W. (2010) · Psychological Assessment · doi:10.1037/a0020429 · Cited by 144 · see citing works
The Rising curve: long-term gains in IQ and related measures
(1999) · Choice Reviews Online · doi:10.5860/choice.36-3630 · Cited by 144 · see citing works
Martinková, P., Hladká, A., Liaw, Y., Sanders, E. A., McFarland, J., & Price, R. (2017) · CBE—Life Sciences Education · doi:10.1187/cbe.16-10-0307 · Cited by 134 · see citing works
Age Effects on Wechsler Adult Intelligence Scale-III Subtests
Ryan, J. J., Sattler, J. M., & Lopez, S. J. (2000) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/15.4.311 · Cited by 128 · see citing works
Flynn, J. R. (1998) · Perceptual and Motor Skills · doi:10.2466/pms.1998.86.3c.1231 · Cited by 127 · see citing works
Golay, P., & Lecerf, T. (2010) · Psychological Assessment · doi:10.1037/a0021230 · Cited by 126 · see citing works
A critique of the Flynn Effect: massive IQ gains, methodological artifacts, or both?
Rodgers, J. L. (1998) · Intelligence · doi:10.1016/s0160-2896(99)00004-5 · Cited by 110 · see citing works
Thirty years on – a large anti‐Flynn effect? The Piagetian test Volume & Heaviness norms 1975–2003
Shayer, M., Ginsburg, D., & Coe, R. (2006) · British Journal of Educational Psychology · doi:10.1348/000709906x96987 · Cited by 106 · see citing works
Application of Hierarchical Genetic Models to Raven and WAIS Subtests: A Dutch Twin Study
Rijsdijk, F., Vernon, P., & Boomsma, D. (2002) · Behavior Genetics · doi:10.1023/a:1016021128949 · Cited by 106 · see citing works
Determining the Significance of Correlations Corrected for Unreliability and Range Restriction
Raju, N. S., & Brand, P. A. (2003) · Applied Psychological Measurement · doi:10.1177/0146621602239476 · Cited by 104 · see citing works
A negative Flynn effect in Finland, 1997–2009
Dutton, E., & Lynn, R. (2013) · Intelligence · doi:10.1016/j.intell.2013.05.008 · Cited by 100 · see citing works
Kan, K.-J., Wicherts, J. M., Dolan, C. V., & van der Maas, H. L. J. (2013) · Psychological Science · doi:10.1177/0956797613493292 · Cited by 100 · see citing works
A twin-family study of general IQ
van Leeuwen, M., van den Berg, S. M., & Boomsma, D. I. (2007) · Learning and Individual Differences · doi:10.1016/j.lindif.2007.04.006 · Cited by 96 · see citing works
Kaufman, A. S., Reynolds, C. R., & McLean, J. E. (1989) · Intelligence · doi:10.1016/0160-2896(89)90020-2 · Cited by 91 · see citing works
Requiem for nutrition as the cause of IQ gains: Raven's gains in Britain 1938–2008
Flynn, J. R. (2009) · Economics & Human Biology · doi:10.1016/j.ehb.2009.01.009 · Cited by 86 · see citing works
(1987) · Cited by 75 · see citing works
A comparison of two approaches to correction of restriction of range in correlation analysis
Wiberg, M., & Sundström, A. E. (2020) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/as0k-tm88 · Cited by 72 · see citing works
WISC-V Assessment and Interpretation : Scientist-Practitioner Perspectives
Weiss, L. G., Saklofske, D. H., Holdnack, J. A., & Prifitera, A. (2015) · Cited by 70 · see citing works
Lewis, V., Martina, C. A., McDermott, M., Chaudron, L. H., Trief, P. M., Guardia, J. G. L., Sharp, D. L., Goodman, S. R., Morse, G. D., & Ryan, R. M. (2017) · CBE—Life Sciences Education · doi:10.1187/cbe.16-07-0215 · Cited by 69 · see citing works
WAIS-IV subtest covariance structure: Conceptual and statistical considerations.
Ward, L. C., Bergman, M. A., & Hebert, K. R. (2011) · Psychological Assessment · doi:10.1037/a0025614 · Cited by 63 · see citing works
Oshima, T. C., Raju, N. S., & Nanda, A. O. (2006) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2006.00001.x · Cited by 62 · see citing works
Ban, J., Hanson, B. A., Wang, T., Yi, Q., & Harris, D. J. (2001) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2001.tb01123.x · Cited by 61 · see citing works
Flanagan, D. P. (2000) · School Psychology Quarterly · doi:10.1037/h0088789 · Cited by 61 · see citing works
A negative Flynn effect in France, 1999 to 2008–9
Dutton, E., & Lynn, R. (2015) · Intelligence · doi:10.1016/j.intell.2015.05.005 · Cited by 58 · see citing works
Beaujean, A. A., & Osterlind, S. J. (2008) · Intelligence · doi:10.1016/j.intell.2007.10.004 · Cited by 56 · see citing works
WAIS-IV, WMS-IV, and ACS : advanced clinical interpretation
Holdnack, J. A., Drozdick, L. W., Weiss, L. G., & Iverson, G. L. (2013) · Cited by 49 · see citing works
Interpretive problems when correcting for attenuation
WlNNE, P. H., & BELFRY, M. J. (1982) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1982.tb00121.x · Cited by 48 · see citing works
A Cross-Cultural Analysis of the WISC-III
Georgas, J. G., van de Vijver, F. J. R., Weiss, L. G., & Saklofske, D. H. (2003) · Elsevier eBooks · doi:10.1016/b978-012280055-9/50021-7 · Cited by 47 · see citing works
“In What Way Are Apples and Oranges Alike?” A Critique of Flynn’s Interpretation of the Flynn Effect
Kaufman, A. S. (2010) · Journal of Psychoeducational Assessment · doi:10.1177/0734282910373346 · Cited by 45 · see citing works
The “Flynn effect” and Flynn’s paradox
Flynn, J. R. (2013) · Intelligence · doi:10.1016/j.intell.2013.06.014 · Cited by 42 · see citing works
Changes in test-taking patterns over time
Must, O., & Must, A. (2013) · Intelligence · doi:10.1016/j.intell.2013.04.005 · Cited by 40 · see citing works
Cockcroft, K., Alloway, T., Copello, E., & Milligan, R. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00297 · Cited by 39 · see citing works
SCALE DRIFT IN ON‐LINE CALIBRATION
Stocking, M. L. (1988) · ETS Research Report Series · doi:10.1002/j.2330-8516.1988.tb00284.x · Cited by 37 · see citing works
The Proper Sequence for Correcting Correlation Coefficients for Range Restriction and Unreliability
Stauffer, J. M., & Mendoza, J. L. (2001) · Psychometrika · doi:10.1007/bf02295732 · Cited by 35 · see citing works
Has there been a “massive” rise in IQ levels in the west? Evidence from Scottish children
Brand, C. R., Freshwater, S., & Dockrell, W. B. (1989) · The Irish Journal of Psychology · doi:10.1080/03033910.1989.10557756 · Cited by 35 · see citing works
Inferential Procedures for Correlation Coefficients Corrected for Attenuation
Hakstian, A. R., Schroeder, M. L., & Rogers, W. T. (1988) · Psychometrika · doi:10.1007/bf02294192 · Cited by 34 · see citing works
Pietschnig, J., Tran, U. S., & Voracek, M. (2013) · Intelligence · doi:10.1016/j.intell.2013.06.005 · Cited by 34 · see citing works
Flanagan, D. P., Alfonso, V. C., & Reynolds, M. R. (2013) · Journal of Psychoeducational Assessment · doi:10.1177/0734282913478047 · Cited by 33 · see citing works
Dori, G. A., & Chelune, G. J. (2004) · Psychological Assessment · doi:10.1037/1040-3590.16.2.146 · Cited by 30 · see citing works
Gottfredson, L. S. (2016) · Psychological Inquiry · doi:10.1080/1047840x.2016.1203232 · Cited by 29 · see citing works
Age Effects on Wechsler Adult Intelligence Scale-III Subtests
Ryan, J. (2000) · Archives of Clinical Neuropsychology · doi:10.1016/s0887-6177(99)00019-0 · Cited by 28 · see citing works
IQ and ability across the adult life span
Baxendale, S. (2011) · Applied Neuropsychology · doi:10.1080/09084282.2011.595442 · Cited by 27 · see citing works
Examining the Flynn effect in the general social survey vocabulary test using item response theory
Alexander Beaujean, A., & Sheng, Y. (2010) · Personality and Individual Differences · doi:10.1016/j.paid.2009.10.019 · Cited by 26 · see citing works
Grégoire, J. (1993) · L'année psychologique · doi:10.3406/psy.1993.28701 · Cited by 23 · see citing works
Self-citationIn France, are secular IQ losses biologically caused? A comment on Dutton and Lynn (2015)
Woodley of Menie, M. A., & Dunkel, C. S. (2015) · Intelligence · doi:10.1016/j.intell.2015.08.009 · Cited by 22 · see citing works
Jensen’s chronometric research: Neither simple nor sufficient but a good place to start
Nettelbeck, T. (1998) · Intelligence · doi:10.1016/s0160-2896(99)80006-3 · Cited by 21 · see citing works
Clark, P. C., & LaHuis, D. M. (2012) · Organizational Research Methods · doi:10.1177/1094428111403815 · Cited by 21 · see citing works
Assessing the Flynn Effect in the Wechsler Scales
Beaujean, A. A., & Sheng, Y. (2014) · Journal of Individual Differences · doi:10.1027/1614-0001/a000128 · Cited by 18 · see citing works
CAN IQ GAIN BE ACCURATELY QUANTIFIED BY A SIMPLE DIFFERENCE FORMULA?
Zhu, J., & Tulsky, D. S. (1999) · Perceptual and Motor Skills · doi:10.2466/pms.1999.88.3c.1255 · Cited by 17 · see citing works
Nugent, W. R. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405284032 · Cited by 16 · see citing works
Flaws in Flynn Effect Research With the Wechsler Scales
Weiss, L. G., Grégoire, J. C., & Zhu, J. (2015) · Journal of Psychoeducational Assessment · doi:10.1177/0734282915621222 · Cited by 16 · see citing works
Self-citationA Negative Flynn Effect in Kuwait: The same effect as in Europe but with seemingly different causes
Dutton, E., Bakhiet, S. F. A., Essa, Y. A. S., Blahmar, T. A. M., & Hakami, S. M. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.03.060 · Cited by 15 · see citing works
DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework
Cervantes, V. H. (2017) · Journal of Statistical Software · doi:10.18637/jss.v076.i05 · Cited by 13 · see citing works
The Flynn Effect and Its Clinical Implications
Grégoire, J. C., Daniel, M. H., Llorente, A. M., & Weiss, L. G. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-404697-9.00006-6 · Cited by 12 · see citing works
Self-citationAssessment in Education in Multicultural Populations
van de Vijver, F. J. R. (2016) · Data Archiving and Networked Services (DANS) · doi:10.4324/9781315749136.ch25 · Cited by 8 · see citing works
Scores composites CHC pour la WAIS-IV : normes francophones
Lecerf, T., Golay, P., & Reverte, I. (2012) · Pratiques Psychologiques · doi:10.1016/j.prps.2012.03.001 · Cited by 7 · see citing works
Application du modèle de Rasch à un problème de comparaison de générations
Flieller, A. (1988) · Bulletin de psychologie · doi:10.3406/bupsy.1988.12973 · Cited by 6 · see citing works
CAN IQ GAIN BE ACCURATELY QUANTIFIED BY A SIMPLE DIFFERENCE FORMULA?
ZHU, J. (1999) · Perceptual and Motor Skills · doi:10.2466/pms.88.3.1255-1260 · Cited by 1
Scale Drift in On-Line Calibration
Stocking, M. L. (1988) · doi:10.21236/ada196439
Flagged first, then by citations
Research works printed but not linked: 2
- Jensen, 1994, Phlogiston, animal magnetism, and intelligence, Vol. 4
- Rundquist, 1936, Intelligence test scores and school marks of high school seniors in 1929 and 1933, School and Society, 43, 301
Cited by
Sorted by citations
Gonthier, C., & Grégoire, J. C. (2022) · Intelligence · doi:10.1016/j.intell.2022.101688 · Cited by 18 · see citing works
Self-citationSalonen, J., Slama, S., Haavisto, A., & Rosenqvist, J. (2022) · Child Neuropsychology · doi:10.1080/09297049.2022.2112163 · Cited by 16 · see citing works
Lazaridis, A., Vetter, M., & Pietschnig, J. (2022) · Intelligence · doi:10.1016/j.intell.2022.101707 · Cited by 14 · see citing works
Arnstein, K. B., Desmet, O. A., Seward, K., Traynor, A., & Olenchak, F. R. (2023) · Education Sciences · doi:10.3390/educsci13090955 · Cited by 18 · see citing works
The ups and downs of intelligence: The co-occurrence model and its associated research program
Egeland, J. (2022) · Intelligence · doi:10.1016/j.intell.2022.101643 · Cited by 12 · see citing works
Oberleiter, S., Fries, J., Dejardin, F., Heller, J., Schaible, C., Vetter, M., Voracek, M., & Pietschnig, J. (2024) · Intelligence · doi:10.1016/j.intell.2024.101867 · Cited by 10 · see citing works
Gc at its boundaries: A cross-national investigation of declarative knowledge
Watrin, L., Schroeders, U., & Wilhelm, O. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102267 · Cited by 8 · see citing works
Rodgers, J. L. (2023) · Intelligence · doi:10.1016/j.intell.2023.101794 · Cited by 7 · see citing works
Nordmo, M., Norrøne, T. N., & Lang-Ree, O. C. (2025) · Intelligence · doi:10.1016/j.intell.2025.101909 · Cited by 5 · see citing works
It Runs in the Family: Testing for Longitudinal Family Flynn Effects
Wänström, L., O’Keefe, P., Clouston, S., Mann, F. D., Terrera, G. M., Voll, S., Zhang, Y., Hofer, S. M., & Rodgers, J. L. (2023) · Journal of Intelligence · doi:10.3390/jintelligence11030050 · Cited by 6 · see citing works
Gonthier, C., Tourreix, E., Besançon, M., Grégoire, J. C., & Guignard, J. (2025) · Intelligence · doi:10.1016/j.intell.2025.101948 · Cited by 3 · see citing works
Self-citationAndrzejewski, D., Fries, J., & Pietschnig, J. (2026) · Intelligence & Cognitive Abilities · doi:10.65550/001c.157760 · Cited by 2 · see citing works
Rodgers, J. L., Wänström, L., & Ang, S. (2025) · Intelligence · doi:10.1016/j.intell.2024.101897 · Cited by 1 · see citing works
Chen, Z., Liao, Z., Qian, D., & Li, J. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/1129419 · Cited by 1 · see citing works
Quantifying the Flynn Effect in Spain, 1991–2022Preprint
Lasker, J. (2023) · doi:10.31234/osf.io/jmhd3
(2023) · Retz eBooks · doi:10.3917/retz.cordi.2023.01.0158
Gonthier, C. (2025) · doi:10.3917/edmat.segin.2025.01.0141
Self-citationSommes-nous plus bêtes que nos parents ?
Gonthier, C. (2025) · doi:10.64628/aak.rhheaudkp
Self-citationMore Than “Just 1 g ”? The General Intelligence Paradox and Its Solution
Sarraf, M. A., Menie, M. A. W. O., Fuerst, J. G. R., & Peñaherrera‐Aguirre, M. (2026) · Intelligence & Cognitive Abilities · doi:10.65550/001c.155379
Lesigang, J., Vetter, M., Voracek, M., & Pietschnig, J. (2026) · Intelligence & Cognitive Abilities · doi:10.65550/001c.171910
- Authors
- Gonthier, C., Grégoire, J., & Besançon, M.
- Affiliations
- Laboratoire de Psychologie : Cognition, Comportement, Communication (FR)
- UCLouvain (BE)
- Corresponding author
- Gonthier, Corentin
- Venue
- Intelligence
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 84
- Pages
- 101512
- ISSN
- 0160-2896 (ISSN-L)
- OpenAlex
- W3110883005
- Cited by
- 20
- References
- 95
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 6 · 2022: 5
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Intelligence (acceptedVersion, other-oa)
- RePEc: Research Papers in Economics (publishedVersion)
- HAL (submittedVersion, cc-by-nc)
- Digital Access to Libraries (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- intelligence decline, WAIS-III, cultural knowledge, differential item functioning, Wechsler intelligence tests, cultural bias in intelligence testing, France
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-03.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-03.
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