Measuring flexibility in autistic adults: Exploring the factor structure of the flexibility scale self report

Author:

Hollocks Matthew J.1ORCID,McQuaid Goldie A.2ORCID,Yerys Benjamin E.34ORCID,Strang John F.5,Anthony Laura G.6,Kenworthy Lauren78,Lee Nancy R.9ORCID,Wallace Gregory L.10

Affiliation:

1. Department of Child & Adolescent Psychiatry King's College London London UK

2. Department of Psychology George Mason University Fairfax Virginia USA

3. Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

4. University of Pennsylvania Philadelphia Pennsylvania USA

5. Gender and Autism Program, Children's National Hospital Rockville Maryland USA

6. Department of Psychiatry and Behavioral Sciences University of Colorado School of Medicine Aurora Colorado USA

7. Departments of Pediatrics, Psychiatry, and Behavioral Sciences George Washington University School of Medicine Washington District of Columbia USA

8. Division of Neuropsychology Children's National Hospital Washington District of Columbia USA

9. Department of Psychological and Brain Sciences Drexel University Philadelphia Pennsylvania USA

10. Department of Speech, Language, and Hearing Sciences The George Washington University Washington District of Columbia USA

Abstract

AbstractCognitive flexibility differences are common for autistic individuals and have an impact on a range of clinical outcomes. However, there is currently a lack of well validated measurement tools to assess flexibility in adulthood. The Flexibility Scale was originally designed as a parent‐report measure of real‐world flexibility challenges in youth. The original Flexibility Scale provides a total score and five subscales: Routines and Rituals, Transitions and Change, Special Interests, Social Flexibility, and Generativity. In this study, we evaluate the factorial validity of the Flexibility Scale as a self‐report (Flexibility Scale Self Report) measure of cognitive flexibility, adapted from the original Flexibility Scale, for use by autistic adults. This study includes both a primary sample (n = 813; mean age = 40.3; 59% female) and an independently recruited replication sample (n = 120; mean age = 32.8; 74% female) of individuals who completed the Flexibility Scale Self Report. The analysis consisted of an initial confirmatory factor analysis (CFA) of the original Flexibility Scale structure, followed by exploratory factor analysis (EFA) and factor optimization within a structural equation modeling framework to identify the optimal structure for the questionnaire in adults. The identified structure was then replicated through CFA in the replication sample. Our results indicate an alternative optimal scale structure from the original Flexibility Scale, which includes fewer items, and only three (Routines/Rituals, Transitions and Change, Special Interests) of the five subscales contributing to the flexibility total score. Comparisons revealed no structural differences within the scale based on sex assigned at birth. Here the Generativity and Social Flexibility scales are treated as independent but related scales. The implications for measurement of cognitive flexibility in clinical and research settings, as well as theoretical underpinnings are discussed.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

National Institute of Mental Health

George Washington University

Publisher

Wiley

Subject

Genetics (clinical),Neurology (clinical),General Neuroscience

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