Cited by 115Developmental and Educational NeuropsychologyAttention Deficit Hyperactivity DisorderHistorical and Modern Theater Studies

Executive functioning rating scales: Ecologically valid or construct invalid?

Open access
Soto, Elia F., Kofler, Michael J., Singh, Leah J., Wells, Erica L., Irwin, Lauren N., Groves, Nicole B., Miller, Caroline E.·2020·Neuropsychology

Abstract

OBJECTIVE: Executive functions are commonly measured using rating scales and performance tests. However, replicated evidence indicates weak/nonsignificant cross-method associations that suggest divergent rather than convergent validity. The current study is the first to investigate the relative concurrent and predictive validities of executive function tests and ratings using (a) multiple gold-standard performance tests, (b) multiple standardized rating scales completed by multiple informants, and (c) both performance-based and ratings-based assessment of academic achievement-a key functional outcome with strong theoretical links to executive function. METHOD: A well-characterized sample of 136 children oversampled for ADHD and other forms of child psychopathology associated with executive dysfunction (ages 8-13; 68% Caucasian/non-Hispanic) completed a counterbalanced series of executive function and academic tests. Parents/teachers completed executive function ratings; teachers also rated children's academic performance. RESULTS: = .63). Relative to ratings, executive function tests showed significantly higher cross-method predictive validity and significantly better within-method prediction; executive function ratings failed to demonstrate improved within-method prediction. Both methods uniquely predicted academic tests and ratings. CONCLUSION: These findings replicate prior evidence that executive function tests and ratings cannot be used interchangeably as executive function measures in research and clinical applications, while suggesting that executive function tests may have superior validity for predicting academic behavior/achievement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Integrity signals

Registry

Crossref · 10.1037/neu0000681

Cites

112 of 112 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

18 of 70 cited sources checked · 8 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    The executive function performance tests used in previous head-to-head studies have been criticized for poor specificity, as they were not developed to assess executive functioning but rather gross neuropsychological functioning.

    “the ‘executive function’ performance tests used in previous head-to-head studies have been uniformly criticized for poor specificity, such that they were not developed to assess executive functioning but rather gross neuropsychological functioning (for review see Snyder et al., 2015).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Snyder et al., 2015 source

      The review’s discussion of EF impairments says many traditional neuropsychological EF measures are nonspecific because they tap both EF and non-EF abilities. It also says many were developed to detect severe deficits, such as those due to brain damage. It does not establish that the tests in previous head-to-head studies were uniformly criticized or that they were not developed to assess EF at all. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Premisecitation

    Gerst et al. (2017) were unable to fully test cross-domain predictive validity because they did not include rating-based academic outcome measures.

    “Gerst et al. (2017) were unable to fully test for cross-domain predictive validity because they did not include rating-based academic outcome measures.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Gerst et al., 2017 source
  • Premisecitation

    Executive function rating scales predict theoretically-linked ratings of personality traits, internalizing and externalizing disorders, social skills, mood difficulties and academic functioning.

    “Concurrent and predictive validity evidence includes demonstrations that executive function rating scales predict theoretically-linked ratings of personality traits, internalizing and externalizing disorders, social skills, mood difficulties and academic functioning (Buchanan, 2016; Gerst et al., 2017; Gross et al., 2015; Jarratt et al., 2005; Muris et al., 2008).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Buchanan, 2016 source

      The General Discussion (page unavailable) reports that self-report executive-function measures were associated with neuroticism and lower conscientiousness in nonclinical samples, supporting the personality-traits portion. It does not establish prediction of internalizing or externalizing disorders, social skills, mood difficulties, or academic functioning; its studies were correlational rather than demonstrations of predictive validity. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Gerst et al., 2017 source

      The Discussion (Findings for Aim 2; page unavailable) reports that executive-function behavioral ratings predict reading comprehension and are relevant to mathematics performance in children. The paper does not establish the cited sentence’s other outcomes—personality traits, internalizing or externalizing disorders, social skills, or mood difficulties. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Gross et al., 2015 source
  • Premisecitation

    The concurrent and predictive validity of executive function performance tests is supported by studies showing strong convergence with ecologically valid functional outcomes.

    “their concurrent and predictive validity has been supported across a range of cognitive, developmental, and clinical studies demonstrating strong convergence with ecologically valid functional outcomes (Kofler et al., 2016; Miyake et al., 2000; St. Clare-Thompson & Gathercole, 2006; Wells et al., 2018).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Kofler et al., 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Miyake et al., 2000 source
    • cites Wells et al., 2018 source

      The Results (Tier 2) report strong associations between the criterion working-memory tests and academic achievement, an outcome relevant to everyday functioning in the children studied. But the same section reports that traditionally administered digit span backward did not significantly predict achievement; the Discussion says its validity improved only with modified administration and scoring. The paper therefore supports a narrower finding, not strong convergence for executive-function performance tests generally or across a range of settings. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Premisecitation

    The convergent validity of executive function rating scales is supported by strong convergence with other questionnaire-based executive function assessments completed by the same informant at the same time point.

    “their convergent validity has been supported across multiple studies showing strong convergence with other questionnaire-based executive function assessments completed by the same informant at the same time point (Buchanan, 2016; Gross et al., 2015; McAuley et al., 2010; Muris et al., 2008).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Buchanan, 2016 source
    • cites Gross et al., 2015 source
    • cites McAuley et al., 2010 source
  • Classified as probably not a substantial claim. 19
  • May combine two claims. 29
  • Classified as probably not a substantial claim.

    Premisecitation

    Prior head-to-head studies have generally found that executive function rating scales predict functional outcomes better than performance-based tests.

    “the few studies that have pitted these two measurement methods head-to-head have generally found that executive function rating scales predict functional outcomes better than performance-based tests (Barkley & Murphy, 2010; Toplak, 2008)”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Barkley & Murphy, 2010 source
    • cites Toplak, 2008

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Gerst et al. (2017) found that executive function tests showed consistent univariate relations across multiple academic tests, whereas the pattern for executive function ratings was more nuanced and measure-specific.

    “They also found that executive function tests showed consistent univariate relations across multiple academic tests, whereas the pattern for executive function ratings was more nuanced and measure-specific.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Gerst et al., 2017 source

      The Results (Aim 1; page not available in our copy) report significant correlations between every cognitive EF test and both reading comprehension and math, supporting the consistent univariate-relations claim. But every behavioral EF rating also correlated significantly with both outcomes; the more measure-specific pattern appears in analyses accounting for covariates (Discussion, Findings for Aim 2), not in those univariate correlations. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationown data

    The study replicated prior findings of modest to weak EF test/rating associations and extended them by showing that construct-level associations fall below expectations for cross-method associations between measures intended to assess the same construct.

    “Overall, we replicated prior findings of modest to weak associations between executive function tests and ratings (Gross et al., 2015; Miranda et al., 2015; Nordvall et al., 2017) and extended those findings by showing that, even at the construct level, these associations fall well below expectations for cross-method associations between measures intended to assess the same construct”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Gross et al., 2015 source
    • cites Miranda et al., 2015 source
    • cites Nordvall et al., 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • Rests on an assumption: The correlation between academic performance tests and ratings (r=.63) represents the expected level of cross-method correspondence for measures of the same underlying construct.
    • Rests on an assumption: Executive function performance tests and rating scales are intended to assess the same underlying construct.
  • Classified as probably not a substantial claim.

    Interpretationcitation

    An alternative explanation is that EF performance tests and ratings measure fundamentally different underlying constructs.

    “An alternative explanation that has been proposed recently is that, despite both being reified as measures of ‘executive function,’ executive function performance tests and ratings are measuring fundamentally different underlying constructs (Spiegel et al., 2017; Toplak et al., 2013).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Spiegel et al., 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Toplak et al., 2013 source
  • May combine two claims.

    Premisecitation

    Academic functioning was selected as the predictive validity outcome because of its centrality in children's lives, its association with social and occupational functioning, and its strong theoretical and empirical links with executive functioning.

    “Academic functioning was selected as the predictive validity outcome given its centrality in children’s lives, association with social and occupational functioning both cross-sectionally and longitudinally (Kuriyan et al., 2013; Walker, & Nabuzoka, 2007; Wentzel, 1991), and strong theoretical and empirical links with executive functioning (e.g., Ahmed et al., 2018; Samuels et al., 2016 ).”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Kuriyan et al., 2013 source

      The Results section (‘Predictors of Occupational Outcomes’; page unavailable) reports that lifetime academic problems predicted later job loss in this longitudinal ADHD study, supporting an association with occupational functioning. The cited paper does not establish an association between academic and social functioning or a cross-sectional association. The executive-functioning point is attributed to other citations in the sentence. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites Walker, & Nabuzoka, 2007 source
    • cites Wentzel, 1991 source
  • May combine two claims.

    Interpretationcitation

    Both EF measurement methods were important for predicting children's academic functioning, but the overall pattern provided greater support for the construct and predictive validity of EF performance tests.

    “Despite this apparent divergent validity evidence, both methods were important for predicting children’s academic functioning (Gerst et al., 2017), albeit to different degrees and with a more nuanced pattern of findings that overall provided greater support for the construct and predictive validity of executive function performance tests as discussed below.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Gerst et al., 2017 source
  • May combine two claims.

    Findingown data

    Relative to ratings, executive function tests showed significantly higher cross-method predictive validity and significantly better within-method prediction; executive function ratings failed to demonstrate improved within-method prediction.

    “Relative to ratings, executive function tests showed significantly higher cross-method predictive validity and significantly better within-method prediction; executive function ratings failed to demonstrate improved within-method prediction.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The association between executive function tests and ratings was modest (r = .30) and significantly lower than the association between academic tests and ratings (r = .64).

    “The executive function tests/ratings association was modest (r=.30) and significantly lower than the academic tests/ratings association (r=.64).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The mono-informant hypothesis was supported: EF ratings predicted academic ratings (β=.37, p<.001) and EF performance tests predicted academic performance tests (β=.64, p<.001).

    “As shown in Figure 1, the mono-informant hypothesis was supported, such that the EF ratings component predicted academic ratings (β=.37, p<.001) and the EF performance test component predicted academic performance tests (β=.64, p<.001).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Executive function performance tests and ratings shared 9% of their variance, whereas academic performance tests and ratings shared 40% of their variance.

    “squaring the bivariate correlations indicated that executive function performance/ratings share only 9% of their variance, relative to 40% variance shared between academic performance and ratings.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Set shifting is typically found in late adolescent and adult samples but may not be separable from working memory and inhibitory control in childhood.

    “A third primary executive function, set shifting, is typically found in late adolescent and adult samples but may not be separable from working memory and inhibitory control in childhood (for review see Karr et al., 2018).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Karr et al., 2018 source
  • May combine two claims.

    Interpretationown data

    The study replicated the weak construct-level EF test/rating association and provided the first fully-crossed test of predictive validity relative to academic achievement, an outcome with strong theoretical links to executive function.

    “The current study contributed to this debate by replicating the overall weak association between executive function performance tests and ratings at the construct level and providing the first fully-crossed test of predictive validity relative to a key functional outcome domain with strong theoretical links to executive function”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Ahmed et al., 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Samuels et al., 2016 source
    • Rests on an assumption: The current study is the first to employ a multi-method, multi-informant/multi-test approach with component estimation to assess construct-level concurrent and predictive validity between EF rating scales and performance-based tests.
  • May combine two claims.

    Interpretationown data

    Executive function tests and ratings are weakly correlated even at the construct level, despite both being treated as measures of executive function, and this is consistent with prior work.

    “These findings are particularly striking given our use of construct-level estimates of performance tests and ratings that were each based on multiple criterion measures, but are consistent with prior work (reviewed above) and provide additional evidence that executive function tests and ratings appear to be weakly correlated despite both being reified as measures of ‘executive function.’”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Oversampling children with ADHD was expected to maximize EF test/rating associations by providing a broader range of scores.

    “the current study’s oversampling for children with ADHD was expected to maximize executive function tests/ratings associations by providing a broader range of scores”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Psychometric support for the BASC executive function subscale includes high internal consistency, test-retest reliability, and expected correspondence with other informant-based ratings.

    “Psychometric support for the Executive Functioning subscale includes high internal consistency (α=.85–.95), test-retest reliability (r = .80–.92), and expected correspondence with other informant-based ratings of executive functions (Reynolds & Kamphaus, 2004, 2015; Sullivan & Riccio, 2006).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Reynolds & Kamphaus, 2004, 2015

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Sullivan & Riccio, 2006 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Age, sex, medication status, and ADHD status were covaried in all analyses, and the pattern, significance, and interpretation of results did not change when these covariates were removed.

    “Age, sex, medication status (no/yes), and ADHD status (no/yes) were covaried in all analyses; the pattern, statistical significance, and interpretation of results are unchanged in exploratory analyses in which these covariates were removed.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The weak relation between executive function rating scales and performance-based tests questions whether both can be used as reliable measurements of executive functions but cannot indicate whether either method is a better indicator than the other.

    “the weak relation between executive function rating scales and performance-based tests questions whether both can be used as reliable measurements of executive functions but cannot inform whether either method is a better indicator than the other.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    All univariate skewness and kurtosis values for primary and secondary outcomes and predictors were less than an absolute value of 1.0.

    “All univariate skewness values and kurtosis values were less than an absolute value of 1.0 for primary and secondary outcomes and predictors.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The academic ratings outcome was limited to a single teacher APRS measure, whereas academic test scores were based on a composite of multiple K-TEA subtests.

    “Next, our academic ratings outcome was limited to a single behavioral measure (i.e., teacher APRS ratings), whereas academic test scores were based on a composite of multiple K-TEA subtests.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    All tasks were counterbalanced across testing sessions to minimize order effects.

    “All tasks were counterbalanced across testing sessions to minimize order effects.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Both EF measurement methods provide unique prediction of academic functioning, but EF performance tests show stronger cross-method predictive validity and outperform EF ratings for predicting academic performance tests.

    “Both methods provide unique prediction for understanding children’s academic functioning, with EF performance tests showing stronger cross-method predictive validity and outperforming EF ratings for predicting academic performance tests.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    Oversampling for ADHD and other psychopathology was considered a strength because these disorders are associated with executive dysfunction and the sample better represents children seen in clinical practice.

    “Oversampling for ADHD and other forms of child psychopathology was considered a strength given that (a) these disorders have well-documented associations with executive dysfunction (e.g., Kasper et al., 2012), and (b) generalizability is improved because the sample is more representative of the types of children for whom these tests and ratings are administered in clinical practice”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Kasper et al., 2012 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    The sample of 136 children was well-characterized and oversampled for ADHD and other forms of child psychopathology associated with executive dysfunction.

    “A well-characterized sample of 136 children oversampled for ADHD and other forms of child psychopathology associated with executive dysfunction (ages 8–13; 68% Caucasian/non-Hispanic) completed a counterbalanced series of executive function and academic tests.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductnone given

    The study was cross-sectional and the sample was primarily clinically-referred children ages 8 to 13, with oversampling of ADHD and other child psychopathology.

    “This study was cross-sectional and the sample was comprised primarily of clinically-referred children ages 8 to 13 years, including an oversampling of children with ADHD and other forms of child psychopathology.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    The larger study from which this sample was drawn had a preregistration.

    “A detailed account of the comprehensive psychoeducational evaluation can be found in the larger study’s preregistration: https://osf.io/nvfer/.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    EF ratings did not outperform EF performance tests for predicting academic ratings and showed a small association with academic performance tests that was significantly lower than their association with academic ratings.

    “In contrast, EF ratings failed to outperform EF performance tests for predicting academic ratings and, consistent with the mono-informant bias hypothesis, showed a small magnitude association with academic performance tests that was significantly lower than its association with academic ratings.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Including children without ADHD may reduce specificity to ADHD, and oversampling children with ADHD may reduce generalizability to the broader population.

    “Nonetheless, the inclusion of children without ADHD may reduce specificity of the findings to ADHD, just as the oversampling of children with ADHD may reduce generalizability to the broader population of children.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    Data screening showed that assumptions of multivariate normality, absence of outliers, linearity, and homogeneity of variance-covariance matrices were not violated.

    “Data-screening procedures ensured that assumptions regarding multivariate normality, absence of outliers, linearity, and homogeneity of variance-covariance matrices were not violated (Tabachnick & Fidell, 2013).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Tabachnick & Fidell, 2013

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductown data

    Missing data were low at 1.5%, were missing completely at random, and were imputed using the expectation-maximization algorithm.

    “Missing data rates were low (1.5%) and were missing completely at random (Little’s MCAR test: χ2 [211] = 70.9, p >.99). These data were therefore imputed using the expectation-maximization (EM) algorithm (Shafer, 1997).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Shafer, 1997

      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 conductcitation

    Performance was monitored at all times by an examiner stationed just out of the child's view to provide a structured environment while minimizing improvements related to examiner demand characteristics.

    “Performance was monitored at all times by the examiner, who was stationed just out of the child’s view to provide a structured environment while minimizing improvements related to examiner demand characteristics (Gomez & Sanson, 1994).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Gomez & Sanson, 1994 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    The APRS teacher-rated academic functioning measure has high internal consistency and test-retest reliability.

    “The Academic Performance Rating Scale (APRS; DuPaul et al., 1991) is a 19-item measure completed by each child’s teacher to assess academic functioning (2-week test–retest = .93 to .95, α = .94 to .95).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites DuPaul et al., 1991 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    The KTEA-2/3 academic achievement measure has high internal consistency and test-retest reliability.

    “The Kaufman Test of Educational Achievement (KTEA-2/3; Kaufman & Kaufman, 2004, 2014) was used to assess academic achievement (α = .92–.99; 1–2 week test-retest = .80–.96).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kaufman & Kaufman, 2004, 2014

      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 given

    Psychostimulants were withheld for at least 24 hours before neurocognitive testing.

    “Psychostimulants (Nprescribed=29) were withheld ≥24-hours for neurocognitive testing.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Children were excluded for gross neurological, sensory, or motor impairment; non-stimulant medications that could not be withheld for testing; or history of seizure disorder, psychosis, or intellectual disability.

    “Children were excluded for gross neurological, sensory, or motor impairment; non-stimulant medications that could not be withheld for testing; or history of seizure disorder, psychosis, or intellectual disability.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The executive function rating scales, academic performance tests, and academic rating scales data had not been previously reported.

    “Data from the executive function rating scales, academic performance tests, and academic rating scales have not been previously reported.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Institutional Review Board approval was obtained and maintained, and all parents and children gave informed consent or assent.

    “Institutional Review Board approval was obtained/maintained, and all parents and children gave informed consent/assent.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    A Bartlett maximum likelihood component score was computed by combining two parent and two teacher executive function ratings (BRIEF and BASC for each informant) into an executive function ratings component score.

    “a Bartlett maximum likelihood component score was computed by combining the 2 parent and 2 teacher (BRIEF and BASC for each informant) executive functioning ratings (48% variance explained; loadings = .43–.89).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    EF and academic measures are not assumed to reflect the same underlying construct, yet their correlations are higher than the EF test/rating correlation.

    “The executive function and academic measures are not assumed to reflect the same underlying construct, yet their correlations are higher than the correlation between executive function tests and ratings.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The authors' current view is that EF tests and ratings are likely distinct yet correlated constructs, with neurocognitive EF abilities playing a small but significant role in questionnaire-indexed behaviors, and confusion arising partly from different research traditions using the same term.

    “Our current view is that they are likely distinct yet correlated constructs, with neurocognitive executive function abilities playing a small but significant role in the behaviors indexed by these questionnaires, and confusion resulting in part from different research traditions adopting the same term for constructs that are not related to the degree that one would expect based on their shared re”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    The EF test/rating correlation was significantly greater than zero but weaker than expected for measures of the same underlying EF construct.

    “That is, while the correlation between executive function tests and ratings was significantly greater than zero, it was still weaker than would be expected for measures of the same underlying executive function construct (Redick & Lindsey, 2013)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Redick & Lindsey, 2013

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • Rests on an assumption: The correlation between academic performance tests and ratings (r=.63) represents the expected level of cross-method correspondence for measures of the same underlying construct.
    • Rests on an assumption: Executive function performance tests and rating scales are intended to assess the same underlying construct.
40 of 40
  • The paper relies on this without support.

    Executive function rating scales and performance-based tests are intended to measure the same underlying construct of executive function.

    “It seems psychometrically inappropriate to reify two uncorrelated tests as measures of the same underlying construct”
  • The paper relies on this without support.

    The correlation between academic performance tests and ratings (r=.63) represents the expected level of cross-method correspondence for measures of the same underlying construct.

    “whereas academic performance and ratings showed the large magnitude association expected for two methods that assess the same underlying construct (r=.63, p<.001).”
  • The paper relies on this without support.

    The current study is the first to employ a multi-method, multi-informant/multi-test approach with component estimation to assess construct-level concurrent and predictive validity between EF rating scales and performance-based tests.

    “The current study was the first to employ a multi-method, multi-informant/multi-test approach with component estimation to assess for evidence of construct-level concurrent and predictive validity between executive function rating scales and performance-based tests.”
  • The paper relies on this without support.

    Executive function performance tests and rating scales are intended to assess the same underlying construct.

    “only 9% variance shared between component estimates of two methods intended to assess the same construct”
4 of 4

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?

  • The present results are in line with earlier findings of no significant correlations between same variables of rating scales and cognitive tests and only weak correlations between all variables.

    “The results from the pairwise correlation analysis, when comparing the test and rating scale measuring EF, are in line with earlier findings (6, 13,14,15). There are no significant correlations between the same variables of rating scales and cognitive tests, and only weak correlations between all variables are found.”

    From Executive functioning in children with ADHD: Investigating the cross-method correlations between performance tests and rating scales (2024) · cites this paper as [15]

    The Results, Tier 1 section reports a modest but statistically significant association between executive-function tests and ratings (r=.30, p<.001), contrary to the claim of no significant correlation. The Discussion supports the narrower point that the association was weak; the paper does not establish that correlations between all variables were weak. (LLM, conf=0.88)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • EF tests and rating scales must reflect different underlying constructs or expressions of EF (cognitive and behavioral aspects).

    “Based on these complex results, Soto et al. (15) conclude that EF tests and rating scales must reflect different underlying constructs or expressions of EF (cognitive and behavioral aspects).”

    From Executive functioning in children with ADHD: Investigating the cross-method correlations between performance tests and rating scales (2024) · cites this paper as Soto et al. (15)

    In the Discussion’s Clinical and Research Implications section, Soto et al. conclude that tests and ratings are “probably not” measures of the same underlying construct and say they are likely distinct but correlated. They present cognitive versus behavioral manifestations as a possibility, not a necessary conclusion, so “must reflect” overstates their certainty. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Executive functions remain a controversial topic in research due to the wide range of definitions, theories, and measures associated with them.

    “However, EF remain a controversial topic in research due to the wide range of definitions, theories, and measures associated with it (Baggetta and Alexander, 2016; Soto et al., 2020; Laureys et al., 2022).”

    From Assessment of executive functions in school-aged children: A narrative review (2022) · cites this paper as Soto et al., 2020

    Experimental — accuracy not yet measured
  • According to Soto et al. (2020), compared to rating scales, performance-based tests have been criticized as having poor generalizability and ecological validity because scores may reflect optimal performance under controlled conditions not representative of real-world situations in which executive functions guide behavior.

    “According to Soto et al. (2020), compared to rating scales, performance-based tests have been criticized as having poor generalizability and ecological validity since scores may reflect optimal performance under controlled conditions that are not representative of real-world situations in which EF guide behavior (e.g., poor external/face validity).”

    From Assessment of executive functions in school-aged children: A narrative review (2022) · cites this paper as Soto et al. (2020)

  • There is criticism of the construct validity of executive function rating scales because their correlation with performance-based tests supposedly measuring the same construct is inconsistent or weak.

    “There is, however, criticism of the construct validity of EF rating scales since their correlation with performance-based tests that are supposedly measuring the same construct is inconsistent or weak (Gross et al., 2015; Nordvall et al., 2017; Soto et al., 2020).”

    From Assessment of executive functions in school-aged children: A narrative review (2022) · cites this paper as Soto et al., 2020

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.

  • Consistentz = 4.01reported p < .0001 · recomputed p < .001

    “z=4.01, p < .0001”

1 of 1

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.

  • Academic association is reported as both .64 and .63

    Minor

    The paper gives two slightly different zero-order correlations for the academic ratings/performance relation. One section reports .64, while another reports .63 for what appears to be the same association and same comparison set.

  • Academic tests-ratings correlation differs between abstract and results

    Minor

    The abstract reports the academic tests-ratings correlation as .64, while the Results section reports the same association as .63. Both values are printed to two decimal places.

2 of 2

Cites

Flagged first, then by citations

1 of the 113 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Soto, E. F., Kofler, M. J., Singh, L. J., Wells, E. L., Irwin, L. N., Groves, N. B., & Miller, C. E.
Affiliations
Florida State University (US)
Venue
Neuropsychology
Published
2020-09
Volume
34
Issue
6
Pages
605-619
ISSN
  • 0894-4105 (ISSN-L)
  • 1931-1559
OpenAlex
W3046660768
Cited by
115
References
113
Citations by year
2026: 33 · 2025: 15 · 2024: 21 · 2023: 15 · 2022: 17 · 2021: 12 · 2020: 2
FWCI
11.62
Type
journal article
Language
en
Open access
Locations
  • Neuropsychology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (R34 MH102499-01; R01 MH115048)
Topics
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
Keywords
executive function, rating scales, performance-based assessment, concurrent validity, predictive validity, discriminant validity, convergent validity, academic performance, attention deficit hyperactivity disorder, children, multiple informants
MeSH terms
School Teachers, Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Educational Status, Female, Humans, Male, Memory, Short-Term, Neuropsychological Tests, Parents, Predictive Value of Tests, Psychomotor Performance, Reference Standards, Reproducibility of Results, Executive Function, Neurodevelopmental Disorders

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 under definition version 3 (extract-v3) on 2026-09-28.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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