The study demands and resources scale: psychometric properties, longitudinal invariance, and criterion validity

Llewellyn E. van Zyl*, Rebecca Shankland, Jeff Klibert, Nicolas B. Verger, Sebastiaan Rothmann, Vincent Cho, Katherine Feng, Eric W.K. See-To, Lara C. Roll, Anindita Ghosh, Leander van der Meij, Diane Arijs, Matthew L. Cole, Jacqueline M. Stavros, Inge L. Hulshof, Zelda Di Blasi, Leon T. De Beer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The Study Demands and Resources Scale (SDRS) has shown promise as a valid and reliable measure for measuring students’ specific study demands and -resources. However, there is no evidence as to its psychometric properties outside of the original context in which it was developed. This study aimed to assess the psychometric properties of the SDRS in a cross-national student population through examining its longitudinal factorial validity, internal consistency, and temporal invariance as well as criterion validity through its association with study engagement and task performance over time. Results showed that a Bifactor Exploratory Structural Equation Model (ESEM) with one general factor (overall study characteristics) and five specific factors (workload, growth opportunities, lecturer support, peer support, information availability) fitted the data, showed strong measurement invariance over time, and was reliable at different time points. The study further established criterion validity for the overall study characteristics factor through its concurrent and predictive associations with study engagement and task performance. However, the specific factors’ concurrent and predictive capacity could only partially be established when controlling for the general study characteristics factor. These findings suggest that study characteristics should be measured as a dynamic interaction between study demands and resources, rather than a hierarchical model.

Original languageEnglish
Article number1409099
Number of pages20
JournalFrontiers in Education
Volume9
DOIs
Publication statusPublished - 2024

Keywords

  • exploratory structural equation modelling
  • longitudinal invariance and criterion validity study demands
  • psychometric properties
  • study resources
  • university students

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