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Reliability of the Commonly Used and Newly-Developed Autism Measures

Journal of Autism and Developmental Disorders (2023)Cite this article

Abstract

Purpose

The aim of the present study was to compare scale and conditional reliability derived from item response theory analyses among the most commonly used, as well as several newly developed, observation, interview, and parent-report autism instruments.

Methods

When available, data sets were combined to facilitate large sample evaluation. Scale reliability (internal consistency, average corrected item-total correlations, and model reliability) and conditional reliability estimates were computed for total scores and for measure subscales.

Results

Generally good to excellent scale reliability was observed for total scores for all measures, scale reliability was weaker for RRB subscales of the ADOS and ADI-R, reflecting the relatively small number of items for these measures. For diagnostic measures, conditional reliability tended to be very good (> 0.80) in the regions of the latent trait where ASD and non-ASD developmental disability cases would be differentiated. For parent-report scales, conditional reliability of total scores tended to be excellent (> 0.90) across very wide ranges of autism symptom levels, with a few notable exceptions.

Conclusions

These findings support the use of all of the clinical observation, interview, and parent-report autism symptom measures examined, but also suggest specific limitations that warrant consideration when choosing measures for specific clinical or research applications.

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Authors and Affiliations

  1. Department of Psychology, John Carroll University, Cleveland, OH, USA

    Thomas W. Frazier

  2. Departments of Pediatrics and Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA

    Thomas W. Frazier

  3. Telethon Kids Institute, University of Western Australia, Nedlands, Australia

    Andrew J. O. Whitehouse & Gail A. Alvares

  4. School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK

    Susan R. Leekam

  5. School of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK

    Sarah J. Carrington

  6. Department of Psychology, Program in Neuroscience, Bucknell University, Lewisburg, PA, USA

    David W. Evans

  7. Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA

    Antonio Y. Hardan & Mirko Uljarević

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Frazier, T.W., Whitehouse, A., Leekam, S. et al. Reliability of the Commonly Used and Newly-Developed Autism Measures. J Autism Dev Disord (2023). https://doi.org/10.1007/s10803-023-05967-y

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