SynthesisPloS one2024
A systematic review of self-regulation measures in children: Exploring characteristics and psychometric properties.
Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Self-regulation, which encompasses cognitive, behavioural, and emotional domains, poses challenges in consistent measurement due to diverse definitions and conceptual complexities. In recognition of its profound impact on long-term mental health and wellbeing in children, this systematic review examined available self-regulation measures for children and young people between 1 and 18 years of age. The systematic review followed the COSMIN taxonomy and reported on the measurement tools' characteristics and psychometric properties. The methodology and reporting were guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and checklist. The protocol for this review was registered with PROSPERO (Number CRD42020155809). A search of six databases (Embase, MEDLINE, PsycINFO, Scopus, CINAHL and ERIC) was performed, and grey literature was searched to identify studies on the psychometric properties of measures assessing all three domains (cognitive, behavioural, and emotional) of self-regulation. The types of psychometric properties were examined against the COSMIN taxonomy of measurement properties. A total of 15,583 studies were identified, and 48 of these met the criteria that reported psychometric properties of 23 self-regulation measures assessing all three domains of self-regulation. Most measures relied on self-reports for ages 11-17, and all had limited psychometric evaluation. The Emotion Regulation Checklist was the most studied measure. Notably, none of the studies evaluated measurement error. The content validity was inadequately evaluated, particularly in terms of comprehensiveness and comprehensibility. Future research should focus on developing measures for young children, evaluating measurement error, and enhancing content validity for comprehensive understanding and effective intervention.
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