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A quantitative measure of restricted and repetitive behaviors for early childhood

Overview of attention for article published in Journal of Neurodevelopmental Disorders, August 2016
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Title
A quantitative measure of restricted and repetitive behaviors for early childhood
Published in
Journal of Neurodevelopmental Disorders, August 2016
DOI 10.1186/s11689-016-9161-x
Pubmed ID
Authors

Jason J. Wolff, Brian A. Boyd, Jed T. Elison

Abstract

Restricted and repetitive behaviors are characteristic phenotypic features of many neurodevelopmental, psychiatric, and neurological conditions. During early childhood, such behaviors are considered normative. More research is needed to delineate the dimensions of restricted and repetitive behavior across typical and atypical development during this period. We developed the 34-item parent-rated Repetitive Behavior Scale for Early Childhood (RBS-EC) to capture quantitative, dimensional features across a broad range of behaviors contributing to this domain. We evaluated its psychometric properties and factor structure in a community sample of 914 toddlers. The RBS-EC showed excellent overall internal consistency (α = 0.90), strong test-retest reliability (ICC = 0.87 for topographies and 0.90 for frequency) and evidence of convergent and discriminative validity. Using a split-half approach to factor analysis, we identified that a three- or four-factor structure best fit the data and confirmatory factor analysis indicated acceptable fit for both models. The empirically derived four-factor model was consistent with our conceptual model and included repetitive motor, restricted interests and behavior, ritual and routine, and self-directed behavior. This initial study indicates that the RBS-EC is a reliable and valid instrument for characterizing quantitative, dimensional aspects of restricted and repetitive behaviors in young children.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 16%
Student > Ph. D. Student 15 15%
Researcher 14 14%
Student > Doctoral Student 11 11%
Other 7 7%
Other 10 10%
Unknown 24 25%
Readers by discipline Count As %
Psychology 35 36%
Medicine and Dentistry 8 8%
Neuroscience 7 7%
Social Sciences 6 6%
Computer Science 4 4%
Other 6 6%
Unknown 31 32%