Dataset for: Identifying children with self-regulation problems: factorial structure and psychometric properties of the QUVA-p, a screening tool for preschool teachers. Identifying children with self-regulation problems: factorial structure and psychometric properties of the QUVA-p, a screening tool for preschool teachers.

DOI

The Preschool Self-Regulation Questionnaire (Questionario di Valutazione dell’Autoregolazione [QUVA-p]) is a teacher-completed screening tool for assessing child dysregulation at preschool age. This study presents the psychometric properties of the questionnaire, which was investigated in a sample of 413 preschoolers. We tested for construct validity, measurement invariance across gender, subscale internal consistency, subscale convergent validity with executive control tasks (working memory, inhibitory control, and cognitive flexibility), and power to detect child differences in executive control. Results show that the factorial structure of the QUVA-p is in line with Nigg’s theoretical model of self-regulation and the subscales have good reliability. Measurement invariance is maintained across gender; the instrument reveals small but significant associations with executive control tasks, and it could be useful to detect child differences in executive control.

Dataset for: Scionti, N., Luzi, G., Zampini, L., & Marzocchi, G. M. (2022). Identifying children with self-regulation problems. ISSN:1015-5759. European Journal of Psychological Assessment. Volume: 0. eISSN: 2151-2426. 1-8. © 2022Hogrefe Publishing.

Identifier
DOI https://doi.org/10.23668/psycharchives.4789
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.4789
Provenance
Creator Scionti, Nicoletta; Luzi, Giulia; Zampini, Laura; Marzocchi, Gian Marco
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2021
Rights CC-BY 4.0; openAccess; Creative Commons Attribution 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences