Faculty, Staff and Student Publications

Language

English

Publication Date

9-1-2025

Journal

American Journal on Intellectual and Developmental Disabilities

DOI

10.1352/1944-7558-130.5.344

PMID

40858311

PMCID

PMC12746729

PubMedCentral® Posted Date

12-30-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

Developmental domains, such as cognitive, language, and motor, are key concepts of interest in longitudinal studies of intellectual and developmental disabilities (IDD). Normative scores (e.g., IQ) are often used to operationalize performance on standardized tests of these concepts, but it is the interval-distributed person-ability scores that are intended for the assessment of within-individual change. Here we illustrate the use and interpretation of several Stanford Binet, 5th Edition score types (IQ, extended IQ, Z-normalized raw score, developmental quotient, raw sum score, age equivalent, and ability score) using data from two longitudinal studies of rare genetic conditions associated with IDD. We found that, although normality assumptions were tenuous for all score types, floor effects led to model unsuitability for longitudinal analysis of most types of norm-referenced scores, and that the validity of interpretation with respect to individual change was best for ability scores.

Keywords

Humans, Intellectual Disability, Developmental Disabilities, Child, Longitudinal Studies, Neuropsychological Tests, Adolescent, Female, Male, Intelligence Tests, Adult, Young Adult, Intelligence, Standard scores, Age equivalents, Person ability scores, Sum scores, Item Response Theory, Rasch analysis, Psychometrics, Longitudinal data, Rare genetic conditions, Change Sensitive Score, Stanford Binet

Published Open-Access

yes

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.