Psychometric evaluation of the academic involution scale for college students in China: An application of Rasch analysis

Recent academic attention on educational involution in China underpins the need for a valid and reliable instrument to precisely measure college students’ academic involution behaviors. Seeing the scarcity of a proper instrument, the current study attempted to analyze the item-level psychometric pro...

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Published inFrontiers in psychology Vol. 14; p. 1135658
Main Authors Yang, Yanchao, Peng, Yan, Li, Wangze, Lu, Shan, Wang, Chen, Chen, Sirui, Zhong, Jialiang
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 21.02.2023
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Summary:Recent academic attention on educational involution in China underpins the need for a valid and reliable instrument to precisely measure college students’ academic involution behaviors. Seeing the scarcity of a proper instrument, the current study attempted to analyze the item-level psychometric properties of the newly developed Academic Involution Scale for College Students (AISCS) in China by using a Rasch model. A total of 637 college students in a public university in northern China participated in the study. Data were examined with respect to unidimensionality, rating scale functioning, item fit statistics, item polarity, item- and person-level reliability and separation, item hierarchy and invariance across educational background with Winsteps. The results show that AISCS was a single unidimensional construct with good psychometric properties. Although two items demonstrated differential item functioning, it is plausible given the differences between assessment methods for undergraduates and postgraduates. Limitations and future research directions with regard to sample selection, inclusion of more validity evidence and adding prospective additional academic involution were discussed.
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This article was submitted to Educational Psychology, a section of the journal Frontiers in Psychology
Edited by: Marie Oger, Université de Lorraine, France
Reviewed by: Yi-Hsin Chen, University of South Florida, United States; Rudolf Debelak, University of Zurich, Switzerland
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2023.1135658