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 in | Frontiers in psychology Vol. 14; p. 1135658 |
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Abstract | 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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AbstractList | 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. 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.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. |
Author | Yang, Yanchao Peng, Yan Li, Wangze Zhong, Jialiang Wang, Chen Chen, Sirui Lu, Shan |
AuthorAffiliation | 4 Sehan University , Yeongam County , Republic of Korea 2 Faculty of Education, University of Macau , Taipa , Macao SAR, China 1 North China University of Science and Technology , Tangshan , China 5 Pukyong National University , Busan , Republic of Korea 3 Lyceum of the Philippines University-Batangas , Batangas , Philippines |
AuthorAffiliation_xml | – name: 3 Lyceum of the Philippines University-Batangas , Batangas , Philippines – name: 4 Sehan University , Yeongam County , Republic of Korea – name: 5 Pukyong National University , Busan , Republic of Korea – name: 2 Faculty of Education, University of Macau , Taipa , Macao SAR, China – name: 1 North China University of Science and Technology , Tangshan , China |
Author_xml | – sequence: 1 givenname: Yanchao surname: Yang fullname: Yang, Yanchao – sequence: 2 givenname: Yan surname: Peng fullname: Peng, Yan – sequence: 3 givenname: Wangze surname: Li fullname: Li, Wangze – sequence: 4 givenname: Shan surname: Lu fullname: Lu, Shan – sequence: 5 givenname: Chen surname: Wang fullname: Wang, Chen – sequence: 6 givenname: Sirui surname: Chen fullname: Chen, Sirui – sequence: 7 givenname: Jialiang surname: Zhong fullname: Zhong, Jialiang |
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Cites_doi | 10.1177/014662167800200413 10.4135/9781412985598 10.1177/0013164403063003002 10.1097/01.mlr.0000103522.78233.c3 10.54097/fbem.v6i1.2288 10.4324/9781410611697 10.1167/iovs.12-9969 10.16126/j.cnki.32-1365/g4.2021.05.009 10.3390/ijerph19169826 10.1187/cbe.16-04-0148 10.4324/9781315814698 10.1525/9780520341821 10.1080/09555803.2018.1442362 10.12677/AE.2022.124146 10.3389/fpsyg.2022.800039 10.56028/aehssr.2.1.320 10.1103/PhysRevPhysEducRes.15.020111 10.1080/1360080X.2022.2115332 10.1097/SIH.0b013e31802b68ee 10.1002/art.23108 10.1097/OPX.0b013e318141fe75 10.1038/s41598-021-94166-9 10.3389/fpsyg.2022.1005708 |
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Copyright | Copyright © 2023 Yang, Peng, Li, Lu, Wang, Chen and Zhong. Copyright © 2023 Yang, Peng, Li, Lu, Wang, Chen and Zhong. 2023 Yang, Peng, Li, Lu, Wang, Chen and Zhong |
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Keywords | Rasch analysis academic involution scale validation college students scale development |
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License | Copyright © 2023 Yang, Peng, Li, Lu, Wang, Chen and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Title | Psychometric evaluation of the academic involution scale for college students in China: An application of Rasch analysis |
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