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Michael A. Levine, Huan Chen, Ericka L. Wodka, Alyssa C. Deronda, Brian S. Caffo, Joshua B. Ewen
(2024).
A Multi-Trait Multi-Method Examination of Psychometric Instrument Performance in Autism Spectrum Disorder.
Assessment, 31(4), 892-898.
SAGE Publications.
- Publication date
-
11 Sep 2023
- Identifier
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10.1177/10731911231198205
- Authors
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Michael A. Levine,
Huan Chen,
Ericka L. Wodka,
Alyssa C. Deronda,
Brian S. Caffo,
Joshua B. Ewen
- Source
- Assessment
- Details
- 31(4), 892-898
- Reference type
- article
- Publisher
- SAGE Publications
- Metadata source
- crossref
Abstract
Anecdotal evidence has suggested that rater-based measures (e.g., parent report) may have strong across-trait/within-individual covariance that detracts from trait-specific measurement precision; rater measurement-related bias may help explain poor correlation within Autism Spectrum Disorder (ASD) samples between rater-based and performance-based measures of the same trait. We used a multi-trait, multi-method approach to examine method-associated bias within an ASD sample (n = 83). We examined performance/rater-instrument pairs for attention, inhibition, working memory, motor coordination, and core ASD features. Rater-based scores showed an overall greater methodology bias (57% of variance in score explained by method), while performance-based scores showed a weaker methodology bias (22%). The degree of inter-individual variance explained by method alone substantiates an anecdotal concern associated with the use of rater measures in ASD.
Study authors in this cited reference