Score pattern of the Stanford Binet Intelligence Scale – fifth edition (SB-5) among children with autistic spectrum disorder

Abstract

Objective: The purpose of this study was to characterize the scores of the SB5, cognitive ability test, among autistic children and to study the influence and predictive factor of raw score per Full Scale Intelligence Quotient (FSIQ) of the SB5 in autistic children.

Materials and methods  The method of study was retrospective descriptive research. The psychological test reports of Rajanukul Institute from November 2018 to March 2021, of the 163 patients who received a primary diagnosis based on International Classification of Diseases and Related Health Problem 10^th Revision (ICD-10) as autistic spectrum disorder and underwent cognitive competency assessment with the SB5 test by clinical psychologists. A multiple regression analysis was used to analyze the predictive factors between raw score and FSIQ.

Results: The average FSIQ was 47.0 which was within moderate intellectual disability range. Intellectual disabilities (moderate grade) and co-factors that predicted overall cognitive ability (FSIQ) were: raw score of fluid reasoning and working memory in verbal domain and fluid reasoning in nonverbal domain could be predicted jointly. FSIQ was statistically significant (p value = < 0.01).

Conclusion: Of the SB5, fluid reasoning raw scores in both verbal and nonverbal domain, as well as working memory in the verbal domain were able to jointly predict FSIQ which can enable a clinical psychologist or test taker knew better the true potential of the test taker. Especially the SB5, which has a limitation on the lowest level of the test (floor effect).