Model-Based Person Fit Statistics Applied to the Wechsler Adult Intelligence Scale IV

An important task in clinical neuropsychology is to evaluate whether scores obtained on a test battery, such as the Wechsler Adult Intelligence Scale Fourth Edition (WAIS-IV), can be considered "credible" or "valid" for a particular patient. Such evaluations are typically made based on responses to performance validity tests (PVTs). As a complement to PVTs, we propose that WAIS-IV profiles also be evaluated using a residual-based M-distance ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> ) person fit statistic. Large <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> values flag profiles that are inconsistent with the factor analytic model underlying the interpretation of test scores. We first established a well-fitting model with four correlated factors for 10 core WAIS-IV subtests derived from the standardization sample. Based on this model, we then performed a Monte Carlo simulation to evaluate whether a hypothesized sampling distribution for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> was accurate and whether <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> was computable, under different degrees of missing subtest scores. We found that when the number of subtests administered was less than 8, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> could not be computed around 25% of the time. When computable, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> conformed to a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup><mml:mrow><mml:mi>χ</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> distribution with degrees of freedom equal to the number of tests minus the number of factors. Demonstration of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> index in a large sample of clinical cases was also provided. Findings highlight the potential utility of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> index as an adjunct to PVTs, offering clinicians an additional method to evaluate WAIS-IV test profiles and improve the accuracy of neuropsychological evaluations.

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Journal
Educational and Psychological Measurement
Published
2025-08-03
DOI
https://doi.org/10.1177/00131644251339444
Primary Topic
Traumatic Brain Injury Research
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article
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0.00

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article

Model-Based Person Fit Statistics Applied to the Wechsler Adult Intelligence Scale IV

Robert M. Bilder, Keith F. Widaman, Daniel L. Drane, Amanda Kay Montoya et al.
Educational and Psychological Measurement
Traumatic Brain Injury Research
article

Model-Based Person Fit Statistics Applied to the Wechsler Adult Intelligence Scale IV

Robert M. Bilder, Keith F. Widaman, Daniel L. Drane, Amanda Kay Montoya, Joseph M. Gullett, J. Block, Brittany Wolff, Steven P. Reise, Kristen Enriquez, Russell M. Bauer, Laura Glass Umfleet, David W. Loring
article en

Abstract

An important task in clinical neuropsychology is to evaluate whether scores obtained on a test battery, such as the Wechsler Adult Intelligence Scale Fourth Edition (WAIS-IV), can be considered "credible" or "valid" for a particular patient. Such evaluations are typically made based on responses to performance validity tests (PVTs). As a complement to PVTs, we propose that WAIS-IV profiles also be evaluated using a residual-based M-distance ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> ) person fit statistic. Large <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> values flag profiles that are inconsistent with the factor analytic model underlying the interpretation of test scores. We first established a well-fitting model with four correlated factors for 10 core WAIS-IV subtests derived from the standardization sample. Based on this model, we then performed a Monte Carlo simulation to evaluate whether a hypothesized sampling distribution for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> was accurate and whether <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> was computable, under different degrees of missing subtest scores. We found that when the number of subtests administered was less than 8, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> could not be computed around 25% of the time. When computable, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> conformed to a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup><mml:mrow><mml:mi>χ</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> distribution with degrees of freedom equal to the number of tests minus the number of factors. Demonstration of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> index in a large sample of clinical cases was also provided. Findings highlight the potential utility of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msubsup><mml:mrow><mml:mi>d</mml:mi></mml:mrow> <mml:mrow><mml:mi>ri</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> index as an adjunct to PVTs, offering clinicians an additional method to evaluate WAIS-IV test profiles and improve the accuracy of neuropsychological evaluations.

Educational and Psychological MeasurementVol. 85(6)
University of California, Riverside (US), Emory University (US), Medical College of Wisconsin (US), UCLA Health (US), University of Florida (US), Orthopaedic Institute for Children (US)
National Institute of Mental Health
Quality Education
Openalex Percentile: Top 73%
Traumatic Brain Injury Research
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