» Articles » PMID: 37553958

Deviation Scores: An Innovative Approach to Interpreting Cognitive Test Results for Individuals with Intellectual Disabilities

Overview
Date 2023 Aug 9
PMID 37553958
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Students with Intellectual Disability undergo frequent cognitive testing. Testing with this population is limited by insensitivity to relative strengths and weaknesses due to floor effects.

Aim: The study explored the utility of deviation scores via four case studies as a supplement to educational decision-making.

Methods: Four students with Intellectual Disability completed cognitive testing. Deviation scores were calculated using age dependent raw z-score transformations to determine deviation from the standardization sample norms.

Results: The application of deviation scores highlighted true relative strengths and weaknesses for students with Intellectual Disability rather than documenting previously known deficits. The four cases studies illustrated where deviation scores could, or could not, add value above and beyond traditional scoring.

Discussion: Deviation scores can supplement placement and service decisions for students. Practical and psychometric considerations are reviewed.

Conclusion: The findings highlight the usefulness of deviation scores in providing meaningful information to school- and clinic-based practitioners.

References
1.
Rizzolo M, Friedman C, Lulinski-Norris A, Braddock D . Home and Community Based Services (HCBS) waivers: a nationwide study of the states. Intellect Dev Disabil. 2013; 51(1):1-21. DOI: 10.1352/1934-9556-51.01.001. View

2.
Sansone S, Schneider A, Bickel E, Berry-Kravis E, Prescott C, Hessl D . Improving IQ measurement in intellectual disabilities using true deviation from population norms. J Neurodev Disord. 2015; 6(1):16. PMC: 4613563. DOI: 10.1186/1866-1955-6-16. View

3.
Tager-Flusberg H, Kasari C . Minimally verbal school-aged children with autism spectrum disorder: the neglected end of the spectrum. Autism Res. 2013; 6(6):468-78. PMC: 3869868. DOI: 10.1002/aur.1329. View

4.
Matson J, Williams L . Depression and mood disorders among persons with autism spectrum disorders. Res Dev Disabil. 2014; 35(9):2003-7. DOI: 10.1016/j.ridd.2014.04.020. View

5.
Hessl D, Sansone S, Berry-Kravis E, Riley K, Widaman K, Abbeduto L . The NIH Toolbox Cognitive Battery for intellectual disabilities: three preliminary studies and future directions. J Neurodev Disord. 2016; 8(1):35. PMC: 5012003. DOI: 10.1186/s11689-016-9167-4. View