4.4 Article

Measure reliability of the Perceived Competence and Social Acceptance for Children Scale via Rasch analysis

Journal

BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY
Volume 90, Issue 1, Pages 130-151

Publisher

WILEY
DOI: 10.1111/bjep.12268

Keywords

acceptance; competence; measurement; psychometrics; reliability; self concept; validity

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Background The self-concept of children has an impact on later behavioural development and psychopathology; therefore, evidence of the accurate measurement of self-concept is important. Harter and Pike's (1984, Child Development, 55, 1969) commonly used measure of self-concept, the Pictorial Scale of Perceived Competence and Social Acceptance for Children, has demonstrated varying evidence of its construct validity and reliability, particularly with preschool- or kindergarten-aged participants. Aim To examine the measurement properties of the Acceptance and Competence measures, and to substantiate the measures' adequacy within the latter participant age range. Sample One hundred and ninety-seven preschool or kindergarten-aged children (M = 5.40 years, SD = 0.30) provided data as part of the Animal Fun study over three measurement periods. Methods The study conducted a pair of Rasch analyses on the Acceptance and Competence measures described prior, with adherence to the assumptions of univariate measurement, item fit, item invariance, and response category adequacy examined as part of these analyses. Results While the Acceptance measure demonstrated adequate reliability outside of some potentially misfitting items, the study identified several limitations for the Competence measure, including potential gender-based and verbal IQ-based response biases. Conclusions Practitioners and research applications of these subscales may benefit from the response recoding recommendations provided in this study for the Acceptance measure, as they improved the measure's properties. The study provides potential solutions to item adequacy concerns, and avenues for future research, involving these measures.

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