A framework for executive function in the late elementary years.
Open accessAbstract
OBJECTIVE: Executive function (EF) is a commonly used but difficult to operationalize construct. In this study, we considered EF and related components as they are commonly presented in the neuropsychological literature, as well as the literatures of developmental, educational, and cognitive psychology. These components have not previously been examined simultaneously, particularly with this level of comprehensiveness, and/or at this age range or with this sample size. We expected that the EF components would be separate but related, and that a bifactor model would best represent the data relative to alternative models. METHOD: We assessed EF with 27 measures in a large sample (N = 846) of late elementary school-age children, many of whom were struggling in reading, and who were demographically diverse. We tested structural models of EF, from unitary models to methodological models, utilizing model-comparison factor analytic techniques. We examined both a common factor as well as a bifactor structure. RESULTS: Initial models showed strong overlap among several latent EF variables. The final model was a bifactor model with a common EF, and five specific EF factors (working memory-span/manipulation and planning; working memory-updating; generative fluency, self-regulated learning; metacognition). CONCLUSIONS: Results speak to the commonality and potential separability of EF. These results are discussed in light of prevailing models of EF and how EF might be used for structure/description, prediction, and for identifying its mechanism for relevant outcomes. (PsycINFO Database Record
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- Findingown data
The final model was a bifactor model with a common EF factor and five specific factors: Working Memory-Span/Manipulation and Planning, Working Memory-Updating, Generative Fluency, Self-Regulated Learning, and Metacognition.
“The final model was a bifactor model with a common EF, and five specific EF factors (Working Memory-Span/Manipulation and Planning; Working Memory-Updating; Generative Fluency, Self-Regulated Learning; Metacognition).”
- Also stated in: § Discussion · plain
“The best-fitting model included a common EF factor in addition to five distinguishable factors: Working Memory as Span/Manipulate with Planning (WM-S/M and Planning); Working Memory as Updating (WM-U); Generative Fluency; Self-Regulated Learning (SRL); and Metacognition (MCOG).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Model 1a, with eight proposed latent variables, was a poor fit because the latent variables were too strongly correlated.
“The first model (Model 1a) evaluated the eight proposed latent variables, and was a poor fit to the data due to latent variables that were too strongly correlated.”
Quote in the paperSubstantial claim - Findingown data
Initial models showed strong overlap among several EF latent variables.
“Initial models showed strong overlap among several EF latent variables.”
Quote in the paperSubstantial claim - Findingown data
Model 2a did not converge because the span/manipulation Working Memory factor was strongly correlated with Shifting.
“This model (Model 2a) did not converge, as the span and manipulation WM factor was strongly correlated with Shifting, and so were combined”
Quote in the paperSubstantial claim - Findingown data
A variety of methodological models each produced a significantly worse fit to the data than Model 2b.
“A variety of methodological models were also evaluated and each also produced a significantly worse fit to the data than Model 2b (see Table 2).”
Quote in the paperSubstantial claim
- Findingown data
The final common factor model, Model 2b, had seven factors: WM-S/M with Planning, WM-U, Inhibition, Shifting, Generative Fluency, Self-Regulated Learning, and Metacognition.
“resulting in a final common factor model (Model 2b) with seven factors: (1) WM-S/M with Planning; (2) WM-U; (3) Inhibition; (4) Shifting; (5) Generative Fluency; (6) Self-Regulated Learning; and (7) Metacognition (MCOG).”
Quote in the paperSubstantial claim - Findingown data
In the final bifactor model, Fluency factor loadings were intermediate but generally larger for common EF.
“Fluency factor loadings were intermediate but generally larger for common EF.”
Quote in the paperNot a substantial claim - Findingown data
Most indicators had adequate loadings on their hypothesized factor.
“most indicators had adequate loadings on their hypothesized factor”
Quote in the paperSubstantial claim - Findingown data
In the final bifactor model, loadings were stronger for indicators of WM-U, Self-Regulated Learning, and MCOG on their specific factors than on the common EF factor.
“Loadings were stronger for the indicators of three specific factors (WM-U, Self-Regulated Learning, and MCOG) relative to the common EF factor.”
Quote in the paperSubstantial claim - Findingown data
The initial bifactor model did not converge because the Shifting and Inhibition specific factors did not identify their respective indicators in the context of a common EF factor.
“The initial bifactor model did not converge because the Shifting and Inhibition specific factors did not identify their respective indicators (i.e., specific loadings were very low) in the context of a common EF factor.”
Quote in the paperSubstantial claim - Findingown data
Indicators of WM-U showed unexpectedly strong specific loadings in the bifactor context.
“indicators of WM-U showed unexpectedly strong specific loadings in the bifactor context”
Quote in the paperSubstantial claim - Findingown data
The unitary model, Model 3a, was a substantially worse fit than Model 2b.
“The unitary model was a substantially worse fit relative to Model 2b.”
Quote in the paperSubstantial claim - Findingnone given
Relationships of the final specific factors with covariates were more sparse and weaker than anticipated.
“relationships of the final specific factors with covariates were more sparse, and weaker, than anticipated.”
Quote in the paperSubstantial claim - Findingown data
Latent factors of both Shifting and Inhibition were not identifiable outside of the common EF factor.
“latent factors of both Shifting and Inhibition were not identifiable outside of the common EF factor”
Quote in the paperSubstantial claim - Findingown data
Intercorrelations within each specific factor retained in the bifactor model were appreciably higher than the average intercorrelation among all indicators.
“though the intercorrelations within each of the specific factors that remained in the bifactor model were appreciably higher (WM/SM and Planning, median r = .28; WMU = .41; SRL = .52; Generative Fluency = .32; MCOG = .77).”
Quote in the paperNot a substantial claim - Findingnone given
The indicators chosen did not allow for separate measurement of Metacognition and Behavioral Self-Regulation.
“the indicators chosen did not allow for the separate measurement of MCOG and Behavioral Self-Regulation”
Quote in the paperSubstantial claim - Findingown data
Factor reliabilities from Model 2b were better than the reliability of any separate indicator.
“as expected, factor reliabilities were better than the reliability of any separate indicator.”
Quote in the paperNot a substantial claim - Findingnone given
Correlations among factors in Models 1a, 1b, and 2a were too strongly correlated.
“correlations among factors in Models 1a, 1b, and 2a were too strongly correlated”
Quote in the paperSubstantial claim - Findingown data
Little's MCAR test suggested that the data were not missing completely at random (χ2 (1927) = 2105.27, χ2/df = 1.09, p = 0.03).
“We empirically tested the tenability of the MCAR assumption using Little’s MCAR test (Little, 1988), and the results suggested that the data were not MCAR (χ2 (1927) = 2105.27, χ2/df = 1.09p = 0.03).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Little, 1988
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- Findingown data
The interrelationships among the indicator variables were relatively weak, with a median correlation of .15.
“The relatively weak interrelationships among the indicator variables (median r = .15, see Table S2)”
Quote in the paperSubstantial claim - Findingown data
There was a clear distinction among latent variables of self-regulated learning, metacognition, and several performance measures of EF.
“There was a clear distinction among latent variables of: (a) SRL; (b) MCOG; and of (c) several performance measures of EF.”
Quote in the paperSubstantial claim - Findingown data
A contrastive model that considered only mode of administration fit the data substantially worse than the hypothesized model.
“a contrastive model that only considered mode of administration was a substantially worse fit to the data than the hypothesized model (see Table 2)”
Quote in the paperSubstantial claim - Findingown data
Measures of Shifting, Working Memory (as span/manipulation), Planning, and Generative Fluency had robust loadings on the primary EF factor.
“measures of Shifting, Working Memory (as span/manipulation), Planning, and Generative Fluency had robust loadings on the primary EF factor”
Quote in the paperSubstantial claim - Findingown data
The common EF factor had a positive relationship with age (r = .38).
“We found a predictable, positive relationship of the common EF factor with age (r = .38) which is robust”
Quote in the paperNot a substantial claim - Findingown data
Students with limited English proficiency showed stronger Working Memory (as updating) performance (r = .22).
“A second less expected (directionally opposite) relation was found between Working Memory (as updating) for students with limited English proficiency (r = .22), where such students exhibited stronger performance.”
Quote in the paperNot a substantial claim - Findingown data
The best-fitting model was a bifactor model with a common EF factor and specific factors of Working Memory (as storage/maintenance) combined with Planning, Working Memory (as updating), Generative Fluency, Self-Regulated Learning, and Metacognition.
“The best-fitting model was a bifactor model with a common EF factor, and specific factors of (a) Working Memory (as storage/maintenance) combined with Planning; (b) Working Memory (as updating); (c) Generative Fluency; (d) Self-Regulated Learning; and (e) Metacognition.”
Quote in the paperSubstantial claim - Findingown data
There was a negative correlation (r = −.26) between performance and limited English proficiency.
“a negative correlation of performance and limited English proficiency was noted (r = −.26)”
Quote in the paperNot a substantial claim - Findingown data
There was a significant negative relation of age and metacognition (r = −.19).
“there was a significant negative relation of age and MCOG (r = −.19)”
Quote in the paperNot a substantial claim - Findingown data
The raw indicator scores showed no significant relation with age.
“the raw indicator scores showed no significant relation with age”
Quote in the paperNot a substantial claim - Findingreasoning
Girls were rated as having stronger metacognition than boys.
“girls were rated as having stronger MCOG than boys”
Quote in the paperNot a substantial claim - Premisecitation
Lee et al. (2013) found that factors of shifting and inhibition were generally combined from ages 6 to 15, when the three factors were separable.
“Lee et al. (2013) also found that factors of shifting and inhibition were generally combined from ages 6 to 15 (when the three factors were separable).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee et al. (2013)
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- Premisecitation
In van der Ven, Kriesbergen, Boom, and Leseman (2012) with younger children, an inhibition and shifting factor were combined.
“in van der Ven, Kriesbergen, Boom, and Leseman (2012) with younger children, an inhibition and shifting factor were combined.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites van der Ven, Kriesbergen, Boom, and Leseman (2012)
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- Premisecitation
Prior attempts to reproduce the three-factor structure of Shifting, Updating, and Inhibition often show some inconsistency.
“Prior attempts to reproduce this three-factor structure, even when expressly attempted, often show some inconsistency.”
Quote in the paperSubstantial claim - Premisenone given
The study identified eight EF components across neuropsychological, cognitive, developmental, and educational literatures: working memory, inhibition, shifting, planning, generative fluency, self-regulated learning, metacognition, and behavioral regulation.
“We identified eight EF components across neuropsychological, cognitive, developmental, and educational literatures: (1) working memory; (2) inhibition; (3) shifting; (4) planning; (5) generative fluency; (6) self-regulated learning; (7) metacognition; and (8) behavioral regulation.”
Quote in the paperSubstantial claim - Premisecitation
In van der Sluis, de Jong, and van der Leij (2007), an inhibition factor was not identified.
“in van der Sluis, de Jong, and van der Leij (2007), an inhibition factor was not identified”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van der Sluis, de Jong, and van der Leij (2007)
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- Premisecitation
Where studies have clearly considered working memory from both updating and storage/maintenance perspectives, these are found to be separable, at least in children.
“where studies have clearly considered working memory from the perspective of both updating (e.g., n-back) and storage/maintenance (e.g., listening recall) (Engelhardt et al., 2015), these are found to be separable, at least in children.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Engelhardt et al., 2015
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- Interpretationown data
The results of this study suggest there is value in considering EF from a more general perspective.
“the results of this study suggest there is also some value in considering EF from a more general perspective”
Quote in the paperSubstantial claim - Premisecitation
In single-group predictive or causal-comparative studies, different types of measures contribute differentially and in complementary fashion.
“In single-group predictive or causal-comparative studies, different types of measures contribute differentially and in complementary fashion (e.g., Richardson, Abraham, & Bond, 2012; Gerst, Cirino, Fletcher, & Yoshida, 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Richardson, Abraham, & Bond, 2012
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- cites Gerst, Cirino, Fletcher, & Yoshida, 2017
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- Premisecitation
Prior factor-analytic studies reported median intercorrelations among EF tasks ranging from .13 to .33.
“the ten tasks in Wiebe et al. (2008) had a median intercorrelation of r = .28; for the nine tasks in Miyake et al. (2000), r = .13; for the nine tasks in Lee et al. (2013), r = .33 (without partialling their control tasks); and for the 14 tasks in Lehto et al. (2003), r = .23”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Wiebe et al. (2008)
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- cites Miyake et al. (2000)
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- cites Lee et al. (2013)
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- Interpretationown data
The viability of the specific EF constructs identified in this study is not solely due to measurement.
“suggesting that the potential viability of the specific EF constructs identified here is not solely due to measurement”
Quote in the paperSubstantial claim - Premisecitation
Modern methods for handling missing data, such as full information maximum likelihood, allow MCAR assumptions to be relaxed to allow for data to be missing at random such that the likelihood of missingness on a given variable is conditional on other variables in the data.
“Modern methods for handling missing data, such as full information maximum likelihood (FIML), allow MCAR assumptions to be relaxed to allow for data to be MAR such that the likelihood of missingness on a given variable is conditional on other variables in the data (Enders & Bandalos, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Enders & Bandalos, 2001
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- Premisecitation
Missing data are problematic if they are not missing completely at random or missing at random.
“Missing data are problematic if they are not missing completely at random (MCAR) or missing at random (MAR) (Rhemtulla & Little, 2012; Rubin, 1976).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Rhemtulla & Little, 2012
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- cites Rubin, 1976
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- Interpretationown data
The finding that neither a fully unitary nor a fully separable structure is clearly true supports the 'separate but related' perspective on EF.
“That neither is clearly true supports the “separate but related” perspective on EF (Miyake et al., 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miyake et al., 2000
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- May combine two claims. 47
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 44
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Findingown dataModel 1b fit the data much better than Model 1a, but Working Memory correlated strongly with several other factors, and factor loadings suggested a distinction between span/manipulation and updating measures.
“The revised model (Model 1b) fit the data much better, but the Working Memory (WM) correlated strongly with several others, and factor loadings suggested a distinction among measures of span and manipulation, versus updating.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe average intercorrelation among all 27 indicator variables was 0.17, with a median of 0.15.
“The average intercorrelation among all 27 indicator variables (see Table S2) was r = .17 (median r = .15)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the final bifactor model, reliability was highest for the EF factor (0.97), high for WM-U (0.82), Self-Regulated Learning (0.84), and Metacognition (0.97), and moderate for WM-S/M/Planning (0.66) and Fluency (0.79).
“From Model 2b to Model 4, reliability was highest for the EF factor (ρEF=0.97), and was also high for three of the specific factors from Model 4 (ρWMU= 0.82, ρself-regulation=0.84, and ρmeta-cognition= 0.97). Reliability was moderate for two specific factors (ρWMSMρWM/planning = 0.66, and ρfluency= 0.79).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the final bifactor model, Shifting and Inhibition indicators loaded only on the common EF factor, with Shifting loadings larger and more consistent than Inhibition.
“Indicators of Shifting and Inhibition loaded only on the common EF factor, though these were larger and more consistent for Shifting relative to Inhibition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor students designated as having limited English proficiency, performances were lower on general EF (r = −.26, p < 0.001) and Fluency (r = −.25, p = 0.009), but higher on WMU (r = .22, p < 0.001), with no significant differences on other specific factors.
“Finally, for students designated as having limited English proficiency, their performances were lower on EF, r = −.26, p < 0.001, and Fluency, r = −.25, p = 0.009, but higher on WMU, r = .22, p < 0.001, with no significant differences on other specific factors.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataIn the final bifactor model, loadings were higher for the specific WM-S/M and Planning factor than for common EF.
“Conversely, loadings were higher for the specific WM-S/M and Planning factor.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSex was positively correlated with WM-U (r = .15, p = 0.017), Self-Regulated Learning (r = .14, p = 0.001), and Metacognition (r = .27, p < 0.001), conferring a slight advantage for girls.
“Sex was positively correlated with WM-U, r = .15, p = 0.017; with SRL, r = .14, p = 0.001; and with Metacognition, r = .27, p < 0.001. These correlations were modest and conferred a slight advantage for girls”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe final bifactor model had five specific factors and was clearly a better fit than Model 2b by most criteria.
“The final bifactor model (see Figure 1) had five specific factors (WM-S/M and Planning, WM-U, Generative Fluency, Self-Regulated Learning, and MCOG), and was clearly a better fit to the data than Model 2b by most criteria (e.g., χ2 difference, change in CFI, AIC, and BIC).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAge was positively correlated with general EF (r = .38, p < 0.001) and negatively correlated with specific Metacognition (r = −.19, p < 0.001); all other age correlations were smaller and non-significant.
“Age was positively correlated with general EF, r = .38, p < 0.001, and negatively correlated with specific Metacognition, r = −.19, p < 0.001 factors. All other age correlations were smaller in magnitude (range r = |.03 to .09|) and non-significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor WM-S/M and Planning, and for Fluency, advantages for boys were of similar magnitude (r = −.13 and r = −.14, respectively), though neither were significant.
“for WM-S/M and Plan, and for Fluency, advantages for boys were of similar magnitude (r = −.13 and r = −.14, respectively), though neither were significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFactors with more reliable indicators had higher maximal reliability; Inhibition had a noticeably low maximal reliability of 0.54.
“It was also the case that factors with more reliable indicators had higher maximal reliability; the only noticeably low value was for Inhibition (ρinhibition= 0.54).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe correlational pattern was strongly similar when computed within the structural framework versus when factor scores were exported and correlations were computed externally, except that the relations of fluency with age and sex became significant.
“The correlational pattern was strongly similar when computed within the structural framework versus when factor scores were exported and correlations were computed externally, except that the relations of fluency with age and sex, while directionally the same as those above and similar in value, were now significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEconomic disadvantage correlated negatively with general EF (r = −.20, p = 0.003), with no significant relations with other factors.
“Economic disadvantage correlated negatively with EF, r = −.20, p = 0.003, such that receipt of free lunch was associated with lower EF performances; there were no significant relations with other factors.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe present study could not conclude that EF indicators are interchangeable and contribute similarly to a unitary factor, nor that the hypothesized factors are separable and non-overlapping.
“The present study is unable to conclude that indicators of EF are interchangeable and each contributes similarly to a unitary factor; it is also unable to conclude that hypothesized factors are separable and non-overlapping.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationThe common EF factor showed negative relationships with economic disadvantage and with limited English proficiency.
“The common EF factor also showed predictable (negative) relationships with economic disadvantage (Raver, 2004; Raver et al., 2013), and with limited English proficiency (Abedi, 2002).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Raver, 2004
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Findingnone givenAll students with limited English proficiency were in the fourth grade and all were struggling readers.
“all the students with limited English proficiency were in the fourth grade and all were struggling readers”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBarkley's model considered metacognition as a component of EF, called reconstitution.
“Barkley’s model (1997; 2014) considered metacognition as a component of EF (reconstitution).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Barkley, 1997; 2014
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Premisenone givenMetacognition and EF are both often described as superordinate processes that monitor, manipulate, or control/regulate other cognitive processes.
“Metacognition and EF are both often described as superordinate processes – those that monitor, manipulate, or control/regulate other cognitive processes”
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PremisecitationBehavioral Regulation models are often concerned with the ability of individuals to control their behavioral actions and/or emotions.
“In contrast to SRL, Behavioral Regulation models are often concerned with the ability of individuals to control their behavioral actions and/or emotions (Blair, 2002; Barkley, 1997; 2014; Posner & Rothbart, 2000; Raver, 2004).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Blair, 2002
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- cites Barkley, 1997; 2014
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- cites Posner & Rothbart, 2000
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PremisecitationSeveral recent studies have focused on preschool children using careful measurement approaches, identifying a unitary EF factor.
“Several recent studies have focused on preschool children using careful measurement approaches, identifying a unitary EF factor (Wiebe et al., 2008; Willoughby, Blair, Wirth, & Greenberg, 2010).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Wiebe et al., 2008
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- cites Willoughby, Blair, Wirth, & Greenberg, 2010
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PremisecitationMetacognitive processes are featured in some models alongside EF.
“metacognitive processes are featured in some models alongside EF (e.g., Stuss, 2011).”
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Interpretationown dataThe structural pattern of this study is partially consistent with a number of other factor analytic studies, though the number and range of EF-related constructs considered here is larger than prior work.
“The structural pattern of this study is partially consistent with a number of other factor analytic studies, though the number and range of EF-related constructs considered here is larger than prior work.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationModels of Self-Regulated Learning focus on how individuals control their own learning processes.
“Models of Self-Regulated Learning (SRL) (e.g., Pintrich, 2000; 2004; Zimmerman & Schunk, 2011) focus on how individuals control their own learning processes.”
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- cites Zimmerman & Schunk, 2011
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Premisenone givenMost often behavioral regulation is assessed through self- or other-ratings, especially beyond preschool age.
“Although decision-based cognitive tasks are available, most often behavioral regulation is assessed through self- or other-ratings, especially beyond the preschool age.”
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PremisecitationThe BRIEF considers Metacognition as one of its primary scales.
“The Behavioral Rating Inventory of Executive Function (BRIEF; Gioia, Isquith, Guy, Kenworthy, 2000) considers Metacognition as one of its primary scales.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gioia, Isquith, Guy, Kenworthy, 2000
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PremisecitationZimmerman's (2000) model includes phases of forethought, performance, and self-reflection; Pintrich (2004) emphasized planning, monitoring, control, and reflection.
“Zimmerman’s (2000) model includes phases of forethought, performance, and self-reflection; Pintrich (2004) emphasized planning, monitoring, control, and reflection.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Zimmerman, 2000
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- cites Pintrich, 2004
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PremisecitationSRL is often assessed via self-report, whereas EF is usually assessed via cognitive performance measures.
“An important methodological difference in comparing the literatures of SRL with EF is that SRL is often assessed via self-report, whereas EF is usually assessed via cognitive performance measures (particularly the “cool” variety; e.g., Welsh & Peterson, 2014).”
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Premisenone givenThese SRL phases are similar to the frameworks of EF described by Zelazo et al. (1997) and Ylvisaker & Feeney (2002).
“These phases are similar to the frameworks of EF described by Zelazo et al. (1997) and Ylvisaker & Feeney (2002).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Zelazo et al. (1997)
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- cites Ylvisaker & Feeney (2002)
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PremisecitationInhibition can be difficult to separate from a common EF factor.
“Inhibition is also featured in many studies of EF, though inhibition can be difficult to separate from a common EF factor (e.g., Miyake & Friedman, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Miyake & Friedman, 2012
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PremisecitationMeta-analyses show quite weak correspondence between updating and storage/maintenance measures, whereas latent variable models show more overlap; these studies were with adults.
“meta-analyses that show quite weak correspondence between these two types of measures (Redick & Lindsey, 2013) whereas latent variable models show more overlap (Schmiedek et al., 2009; 2014); although unlike Engelhardt et al. (2015), these studies were with adults.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Redick & Lindsey, 2013
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- cites Schmiedek et al., 2009; 2014
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PremisecitationFew studies evaluate the relationship of neuropsychological measures of EF to behavioral self-regulation measures beyond the earliest elementary ages, though where examined, relationships are generally small.
“Few studies evaluate the relationship of neuropsychological measures of EF to behavioral self-regulation measures beyond the earliest elementary ages, though where examined, relationships are generally small (e.g., Duckworth & Kern, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Duckworth & Kern, 2011
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PremisecitationLatent variable studies in adults show that EF components are notably fractionated though not independent.
“On the other hand, latent variable studies in adults show that EF components are notably fractionated though not independent (e.g., Miyake, 2000; Hull, Martin, Beier, Lane & Hamilton, 2008; Kane, et al., 2004).”
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- cites Hull, Martin, Beier, Lane & Hamilton, 2008
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- cites Kane, et al., 2004
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May combine two claims.
PremisecitationIn twin studies, Friedman et al. (2008) found that inhibition correlated robustly (r = .73) with both shifting and updating; in their hierarchical genetic analysis, inhibition had a perfect correlation with Common EF, and in nested bifactor analyses, their indicators of inhibition were subsumed in Common EF.
“In twin studies, Friedman et al. (2008) found that inhibition correlated robustly (r = .73) with both shifting and updating; in their hierarchical genetic analysis, inhibition had a perfect correlation with Common EF, and in nested (bifactor) analyses, their indicators of inhibition were subsumed in Common EF.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Friedman et al. (2008)
Not checked in the free run.
May combine two claims.
PremisecitationThe first three EF components, working memory, inhibition, and shifting, were encapsulated in Miyake et al. (2000), but the other five are distributed across the literatures noted above.
“The first three of these were encapsulated in the work of Miyake et al. (2000), but the other five are distributed across the literatures noted above.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miyake et al. (2000)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMetacognition has been perceived as a bridge function between EF and motivation.
“Metacognition has also been perceived as a “bridge” function, for example, between EF and motivation (Borkowski, Chan, & Muthukrishna, 2000)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Borkowski, Chan, & Muthukrishna, 2000
Not checked in the free run.
May combine two claims.
Interpretationown dataThe study was unable to replicate either the preschool structure of EF as a unitary factor or the well-known triumvirate of Shifting, Updating, and Inhibition.
“We were unable to replicate either the preschool structure of EF as a unitary factor, nor the well-known triumvirate of Shifting, Updating, and Inhibition (Miyake et al., 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miyake et al., 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThis is similar to the idea of hot executive functions, where the situation is emotionally valanced.
“In some ways, this is similar to the idea of “hot” executive functions, where the situation is in some way emotionally valanced (Allan & Lonigan, 2011; Zelazo & Carlson, 2012; Welsh & Peterson, 2014).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Allan & Lonigan, 2011
Not checked in the free run.
- cites Zelazo & Carlson, 2012
Not checked in the free run.
- cites Welsh & Peterson, 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPlanning has often been assessed as a clinical task and may be considered a higher-level EF.
“Planning has often been assessed as a clinical task (Delis, Kaplan, & Kramer, 2001), and may be considered a “higher-level” EF (Miyake et al., 2000).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Delis, Kaplan, & Kramer, 2001
Not checked in the free run.
- cites Miyake et al., 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataVariable distributions and outliers were specifically evaluated.
“Variable distributions and outliers were specifically evaluated.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThere were six patterns that produced covariance coverage of 15% to 98% for any pair of variables, and the proportion of students who received each pattern was similar overall and within grade.
“There were six patterns (see Table 1) that produced covariance coverage of 15% to 98% for any pair of variables, and the proportion of students who received each pattern was similar, (e.g., overall and within grade p = .981 and p = .990, respectively).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThese 130 data points comprised only 0.83% of the total number of points available for analyses.
“It should be noted that these 130 data points comprised only 0.83% of the total number of points available for analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe combination of Working Memory (as span/manipulation) with Planning makes conceptual sense because planning requires simultaneous representation and manipulation of potential action sequences and a judgement of their relative success.
“the combination of WM(S/M) with Planning also makes sense conceptually since the act of planning requires simultaneous representation and manipulation of potential action sequences, along with a judgement as to their relative success”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThis resulted in 84 data points being trimmed and set to missing.
“This resulted in 84 data points being trimmed (set to missing).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSometimes a combination of shifting and inhibition is included as a latent factor.
“For example, sometimes a combination of shifting and inhibition is included, as a latent factor (Brydges, Fox, Reid, & Anderson, 2014; Lee, Bull, and Ho, 2013).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Brydges, Fox, Reid, & Anderson, 2014
Not checked in the free run.
- cites Lee, Bull, and Ho, 2013
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationMCAR is a stringent assumption which may not be tenable in practice.
“However, MCAR is a stringent assumption which may not be tenable in practice (Muthén, Kaplan & Hollis, 1987; Rhemtulla & Hancock, 2016).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Muthén, Kaplan & Hollis, 1987
Not checked in the free run.
- cites Rhemtulla & Hancock, 2016
Not checked in the free run.
May combine two claims.
PremisecitationMost prior studies captured only performance-based measures of EF; none included self-report measures, with the exception of Gioia et al. (2002) where the structure of EF was examined using the BRIEF.
“Most prior studies captured only performance-based (e.g., paper-and-pencil, computerized, and/or experimental) measures of EF – none included self-report measures, with the exception of Gioia et al. (2002) where the structure of EF was examined using the BRIEF.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gioia et al. (2002)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataA proportion of students in grade 4 were designated as limited English proficiency, though each pattern also included similar proportions with and without this status.
“A proportion of students in grade 4 were designated as limited English proficiency, though each pattern also included similar proportions with and without this status, p = .938.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationOnly a few studies have considered factors other than working memory, inhibition or shifting, making it unclear how additional domains such as fluency, planning, or self-regulated learning may or may not fit.
“Only a few studies have considered factors other than working memory, inhibition or shifting (Floyd, Bergeron, Hamilton, & Parra; 2010; Gioia, Isquith, Retzlaff, & Espy, 2002), making it unclear how additional domains such as fluency, planning, or self-regulated learning may or may not fit.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Floyd, Bergeron, Hamilton, & Parra; 2010
Not checked in the free run.
- cites Gioia, Isquith, Retzlaff, & Espy, 2002
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe final models were also run with and without weighting, and results were highly similar.
“However, it should be noted that we also ran our final models with and without weighting and results were highly similar.”
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 dataIf performance was well outside typical bounds, data were Winsorized; this was true for 46 additional data points.
“Also, if performance was well outside typical bounds (+/− 3 SD and ~ 0.5 SD from the next nearest score) then data were Winsorized (placed just beyond the next nearest value and so maintaining rank ordering) similar to criteria used elsewhere (Willcutt, Pennington, Olson, Chhabildas, & Hulslander, 2005); this was true for 46 additional data points.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Willcutt, Pennington, Olson, Chhabildas, & Hulslander, 2005
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationControlling for processing speed, factors of working memory and shifting were obtained, though not inhibition.
“Controlling for processing speed, factors of working memory and shifting were obtained, though not inhibition.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huizinga et al. (2006)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenPerformance data were collected in schools by well-trained examiners with on-site supervision, primarily in Fall; teacher-rated measures were collected in late Spring.
“Performance data were collected in schools by well-trained examiners with on-site supervision, primarily in Fall; teacher-rated measures were collected in late Spring.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenStructural results in school-aged samples vary, often finding factors associated with WM or updating, inhibition, and shifting/flexibility, though not always together.
“Structural results in school-aged samples vary, often finding factors associated with WM or updating, inhibition, and shifting/flexibility, though not always together.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenCommon factor models comprise the vast majority of prior work, specifying which latent factors cause which indicators.
“Common factor models comprise the vast majority of prior work, specifying which latent factors cause which indicators.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenStudents were randomly assigned within grade to receive a pattern of tests.
“Students were randomly assigned within grade to receive a “pattern” of tests.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe primary issue is power, which is ameliorated with full information maximum likelihood, so that all observations, measures, and available data points are utilized.
“The primary issue is power, which is ameliorated with FIML (Little, Jorgensen, Lang, & Moore, 2013), so that all observations, measures, and available data points are utilized.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Little, Jorgensen, Lang, & Moore, 2013
Not checked in the free run.
May combine two claims.
Study design and conductown dataThere were no differences between students whose Stop Signal score was versus was not included, in terms of pattern received, grade, age, sex, race, economic disadvantage, or limited English proficiency status, although those who were excluded had lower vocabulary scores than those whose scores remained.
“There were no differences between students whose Stop Signal score was versus was not included, in terms of pattern received, grade, age, sex, race, economic disadvantage, or limited English proficiency status (all p > .05), although those who were excluded had lower vocabulary scores than those whose scores remained, p = .008, d = .24).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHuizinga et al. (2006) utilized a sophisticated modeling approach and covered ages 7 to 21 with a relatively large sample of about 400.
“The study by Huizinga et al. (2006) utilized a sophisticated modeling approach and covered the age range from 7 to 21, with a relatively large sample size (~400).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huizinga et al. (2006)
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningBecause the relationships among these different kinds of variables are confounded by measurement, it is unclear whether their differentiation is driven by method of ascertainment or by a fundamental difference in constructs.
“Because evaluation of the relationships among these different kinds of variables is somewhat confounded by measurement, it is unclear what drives their differentiation – their method of ascertainment or a fundamental difference in constructs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe positive relation of EF with age found here is consistent with prior studies.
“This is consistent with prior studies that show relation of EF with age (Engelhardt et al., 2015; Wiebe et al., 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Engelhardt et al., 2015
Not checked in the free run.
- cites Wiebe et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Stop Signal Test had 161 data points excluded due to aberrant performance; cutoffs were less than 67% correct on go trials and/or less than 12.5% correctly inhibited stop trials; 24 students met both cutoffs.
“The Stop Signal Test was an exception; here, 161 data points were excluded due to aberrant performance; cutoffs (Schachar, Mota, Logan, Tannock, & Klim, 2000) were less than 67% correct on go trials (n=116), and/or less than 12.5% correctly inhibited stop trials (n = 21); 24 students met both cutoffs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schachar, Mota, Logan, Tannock, & Klim, 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn Huizinga et al. (2006), all tasks were computerized and involved speeded choice reaction times.
“All tasks were computerized and involved speeded choice reaction times.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huizinga et al. (2006)
Not checked in the free run.
May combine two claims.
PremisecitationIn Lee et al. (2013), one factor (working memory) consisted of accuracy scores while the other factor (combining switch/inhibit) was predominantly assessed with response-time measures.
“For example, in Lee et al. (2013), one of their factors (working memory) consisted of accuracy scores, whereas the other factor (combining switch/inhibit) was predominantly assessed with response-time measures.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lee et al. (2013)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWilloughby, Pek, and Blair (2013) noted the typically weak interrelationships of factor indicators of EF.
“For example, Willoughby, Pek, and Blair (2013) noted the typically weak interrelationships of factor indicators of EF.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Willoughby, Pek, and Blair (2013)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll research procedures were approved by participating Institutional Review Boards.
“All research procedures were approved by participating Institutional Review Boards.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWhere issues with test administration or scoring were flagged, source documents and observations were examined for serious concerns regarding data appropriateness.
“Where issues with test administration or scoring were flagged, source documents and observations were examined for serious concerns regarding data appropriateness.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationPerformance-based and rating measures of metacognition show weak correlations with regard to EF generally.
“particularly in light of the weak correlations between these kinds of measures with regard to EF generally (e.g., Gerst et al., 2017; Toplak, West, and Stanovich, 2013)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Gerst et al., 2017
Not checked in the free run.
- cites Toplak, West, and Stanovich, 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenDescriptive studies cannot provide information relevant to mechanism and causal direction.
“Descriptive studies, even those with large sample sizes and theoretically driven and comprehensive measures, cannot provide information relevant to mechanism and causal direction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEF structure was not evaluated in a multilevel context.
“EF structure was not evaluated in a multilevel context”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe study had a large, diverse sample and used an inclusive and confirmatory statistical approach examining both correlated factors and bifactor models.
“the present study benefitted from a large, diverse sample, and the statistical approach was inclusive and confirmatory, examining both correlated factors and bifactor models”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWeights were applied so that the contributions from oversampled students were in proportion to their distribution in the schools as a whole.
“Weights were applied to individuals’ data so that the overall contributions from the oversampled students were in proportion to their distribution in the schools as a whole.”
Quote in the paperSubstantial claim- Rests on an assumption: Weighting is common in large scale national samples to increase verisimilitude to the population.
May combine two claims.
Study design and conductcitationThe missingness was planned by design via randomization and did not bias structural loadings.
“the missingness was planned (by design) via randomization and so did not bias structural loadings (Rhemtulla & Little, 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rhemtulla & Little, 2012
Not checked in the free run.
May combine two claims.
Interpretationown dataThe best-fitting model supports both the robustness of a general EF factor and the potential separable impact of specific EF factors.
“This model speaks to both the robustness of a general factor of EF, but also to the potential separable impact of specific EF factors.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe metacognition factor is derived to be uncorrelated with all other latent variables, so its relationship is closer to a beta weight than a zero-order correlation.
“the MCOG factor is derived to be uncorrelated with all other latent variables, both specific and common, and therefore, its relationship is closer to a beta weight then a zero-order correlation”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationJacob and Parkinson (2015) found clear and consistent relationships between EF and academic achievement, but interventions designed to improve EF had little generalizability for improving achievement.
“In their review, Jacob and Parkinson (2015) found clear and consistent relationships between EF and academic achievement, but interventions designed to improve EF had little generalizability for improving achievement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jacob and Parkinson (2015)
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenStudents with reading difficulty were purposefully oversampled.
“Students with reading difficulty were oversampled (purposefully).”
Quote in the paperSubstantial claim- Rests on an assumption: There is no reason to expect a different pattern of relationships based on level of performance.
The paper relies on this without support.
Executive function is a domain-general control process important for managing goal-directed behavior.
“Executive function (EF) is a domain-general control process important for managing goal-directed behavior.”
The paper relies on this without support.
No single prior work has considered all eight identified EF components simultaneously.
“No single work has considered all of the above simultaneously.”
The paper relies on this without support.
No prior factor analytic study has matched the scope and sample size of the present study, particularly in middle to late elementary students.
“However, none have matched the scope (e.g., number of measures, across different literature perspectives) and sample size evaluated here, particularly in this sensitive age range (middle to late elementary students).”
The paper relies on this without support.
EF domains are not typically part of school curricula.
“Age was examined rather than grade, as EF domains are not typically part of school curricula.”
“EF is not instructed the way core academic skills are, making it ambiguous to hypothesize about classroom effects.”
The paper relies on this without support.
After full information maximum likelihood is used, the missing data can be treated as missing at random.
“Modern methods for handling missing data, such as full information maximum likelihood (FIML), allow MCAR assumptions to be relaxed to allow for data to be MAR such that the likelihood of missingness on a given variable is conditional on other variables in the data (Enders & Bandalos, 2001).”
The paper relies on this without support.
Because grade 4 was oversampled for reading difficulty, reading scores in that grade would be systematically lower than expected.
“Because of oversampling for reading difficulty in grade 4, reading scores in this grade (and presumably, correlates of reading skill) would be systematically lower than expectation.”
The paper relies on this without support.
There is no reason to expect a different pattern of relationships based on level of performance.
“there is no rationale to hypothesize a different pattern of relationships based on level of performance”
The paper relies on this without support.
Weighting is common in large scale national samples to increase verisimilitude to the population.
“weighting is common in large scale national samples to increase verisimilitude to the population”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Psychometric latent variable studies show that unity and diversity of cognitive control is evident across samples and ages, although some studies suggest more unity (higher correlations between factors) in early childhood.
“Since that initial study, this psychometric latent variable approach has been used in a large number of studies to show that unity and diversity of CC is evident across samples and ages (e.g., [34–41]), although there are some studies that suggest more unity (higher correlations between factors) in early childhood [35, 42–44].”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [34]
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.
Shifting is described as both combined and separate
MinorThe model-revision account says Shifting was combined with the span/manipulation working-memory factor. Its ensuing list of factors instead places Shifting in a separate factor and combines that working-memory factor with Planning.
“the span and manipulation WM factor was strongly correlated with Shifting, and so were combined”
“seven factors: (1) WM-S/M with Planning; (2) WM-U; (3) Inhibition; (4) Shifting; (5) Generative Fluency; (6) Self-Regulated Learning; and (7) Metacognition (MCOG).”
Fluency correlation is attributed the common EF value
MinorThe Results report a correlation of −.25 between limited English proficiency and Fluency, but the discussion uses −.26 when describing that association. The latter is the reported correlation for common EF.
“given the need for English proficiency on an (English) verbal fluency task, it is also not particularly surprising that a negative correlation of performance and limited English proficiency was noted (r = −.26).”
“their performances were lower on EF, r = −.26, p < 0.001, and Fluency, r = −.25, p = 0.009”
Participant age ranges differ
MinorThe introduction gives an age range of 8 to 11 years, while the Participants section includes 12-year-olds.
“We evaluated students in grades 3 through 5 (ages 8 to 11)”
“Participants were 846 students in grades 3 to 5 (age range 8 to 12 years).”
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Executive functions contributions to copying and text production in elementary school children
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Self-citationPsychological Effects of Rapid Weight Loss in Brazilian Jiu-jitsu Athletes
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Rehabilitation and Prognosis of Literacy Development Disorders
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Executive function in adolescents with obesity: A systematic review and meta-analysis
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A Critical Review of Critical Thinking in HCI Research About AI
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- Authors
- Cirino, P. T., Ahmed, Y., Miciak, J., Taylor, W. P., Gerst, E. H., & Barnes, M. A.
- Affiliations
- University of Houston (US)
- The University of Texas at Austin (US)
- Venue
- Neuropsychology
- Published
- 2018-02
- Volume
- 32
- Issue
- 2
- Pages
- 176-189
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- PMC
- PMC5851451
- OpenAlex
- W2793201094
- Cited by
- 71
- References
- 114
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 3 · 2023: 14 · 2022: 8 · 2021: 11 · 2020: 7 · 2019: 6 · 2018: 4
- FWCI
- 12.19
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health (P50 HD052117)
- Topics
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- executive function, bifactor model, working memory, planning, metacognition, student self-regulation, reading difficulties
- MeSH terms
- Aging, Child, Cognition, Factor Analysis, Statistical, Female, Humans, Individuality, Learning, Male, Memory, Short-Term, Models, Psychological, Neuropsychological Tests, Executive Function
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