Multicomponent Framework for Students' Subjective Well-Being in Elementary School

Autor/inn/en	Kanonire, Tatjana; Federiakin, Denis A.; Uglanova, Irina L.
Titel	Multicomponent Framework for Students' Subjective Well-Being in Elementary School
Quelle	In: School Psychology, 35 (2020) 5, S.321-331 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kanonire, Tatjana) ORCID (Federiakin, Denis A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2578-4218
DOI	10.1037/spq0000397
Schlagwörter	Guidelines; Well Being; Elementary School Students; Models; Peer Relationship; Student Attitudes; Grade 3; Item Response Theory; Psychometrics; Goodness of Fit; Likert Scales; Educational Environment; Correlation; Comparative Analysis; Measurement Techniques; Student School Relationship; Foreign Countries; Russia + Suchen Sie Ihr Suchwort? Richtlinien; Well-being; Wellness; Wohlbefinden; Analogiemodell; Peer-Beziehungen; Schülerverhalten; School year 03; 3. Schuljahr; Schuljahr 03; Item-Response-Theorie; Psychometry; Psychometrie; Likert-Skala; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Korrelation; Messtechnik; Schüler-Lehrer-Beziehung; Ausland; Russland
Abstract	The study proposes a multicomponent model of subjective well-being (SWB) in elementary school. The model includes satisfaction with school, affect toward school, well-being related to communication with peers, and subjective physical well-being. The aim of this study is to verify whether well-being related to different aspects of school life can be explained by a general SWB factor in school. A sample of 1,704 third-grade students (M [subscript age] = 8.89; SD = 0.4; 48.4% girls) was asked to complete a survey consisting of Likert-type scales. The psychometric analysis investigated the internal structure of the data. Multidimensional models from the Rasch modeling framework of item response theory were applied. A correlated factors model, a bifactor model, and oblique bifactor models were compared. Two models fit the data well: the extended Rasch testlet model and the correlated factor model. The findings indicate that a general SWB factor can be extracted from the data through the extended Rasch testlet model. However, the extended Rasch testlet model provides only 1 usable general factor. For the extraction of detailed information by means of scales, the correlated factor model can be applied. Implications for practitioners and limitations of the study are also discussed. (As Provided).
Anmerkungen	American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01