Psychometric Properties and Factorial Structure of the Lithuanian Version of the "Student Engagement in School"
Articles
Jūratė Česnavičienė
Vytautas Magnus University image/svg+xml
https://orcid.org/0000-0001-6405-9173
Agnė Brandušauskienė
Vytautas Magnus University image/svg+xml
https://orcid.org/0000-0002-5187-3739
Aušra Daugirdienė
Vilnius University image/svg+xml
Vytautas Magnus University image/svg+xml
https://orcid.org/0000-0002-3888-5487
Published 2025-12-15
https://doi.org/10.15388/ActPaed.2025.55.14
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Keywords

emotional engagement
behavioural engagement
cognitive engagement
questionnaire reliability
questionnaire validity
factor analysis

How to Cite

Česnavičienė, J., Brandušauskienė, A. and Daugirdienė, A. (2025) “Psychometric Properties and Factorial Structure of the Lithuanian Version of the ‘Student Engagement in School’”, Acta Paedagogica Vilnensia, 55, pp. 240–260. doi:10.15388/ActPaed.2025.55.14.

Abstract

Students’ engagement in school is an important phenomenon for their learning and overall well-being. The aim of this paper is to present the adaptation and validation of the Student Engagement in School Questionnaire (Lam et al., 2014) to the Lithuanian school context. The psychometric indicators and factorial structure of the questionnaire were assessed in two studies. The first study was carried out in June 2019. 476 students took part in this step. The second study was undertaken in February 2020. The sample was 445 pupils. To examine the reliability of the Lithuanian version of the Student Engagement in School Questionnaire, we calculated the internal consistency coefficients (Cronbach’s α and McDonald’s ω). The results of both studies showed good internal consistency of the questionnaire: the values of Cronbach’s α and McDonald’s ω were greater than 0.70 for all scales. To determine the factor structure of the measurement tool, first, exploratory factor analysis (EFA) was performed. The results of EFA only partially confirmed the authors’ proposed questionnaire structure. After applying the Varimax rotation, a six-factor structure was identified, which differed from the original three-factor model. To test the accuracy of the three-factor model and the higher-order factor model structure, confirmatory factor analysis (CFA) was performed. As the original three-factor model was not supported, the CFA results demonstrated that alternative hierarchical structures provided a good fit to the data. A second-order model with six first-order factors (SRMR = 0.056; RMSEA = 0.048; CFI = 0.905) as well as a more theoretically nuanced third-order model (SRMR = 0.056; RMSEA = 0.048; CFI = 0.908) were both found to be suitable. However, it is necessary to verify the stability of the obtained hierarchical model structures by replicating the study.

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