Evidence map›Paper›PMID 33132946›Full record

ArticleFrontiers in psychology2020

Factor Structure and Gender Invariance of Chinese Version State-Trait Anxiety Inventory (Form Y) in University Students.

Yan Han, Jie Fan, Xiang Wang, Jie Xia, Xingze Liu, Huan Zhou, Yi Zhang, Xiongzhao Zhu

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Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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3 · Its place in the literature

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14 citing papers in PubMed.

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  12. Teacher Burnout in the Time of COVID-19: Antecedents and Psychological Consequences.International journal of environmental research and public health · 2023
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yan HanMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Jie FanMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Xiang WangMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Jie XiaMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Xingze LiuMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Huan ZhouMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Yi ZhangMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.
Xiongzhao ZhuMedical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety can be classified as state anxiety and trait anxiety which present the current level of anxiety and the generalized anxiety tendencies of individuals, respectively. The State-Trait Anxiety Inventory form Y (STAI-Y) is a reliable instrument used to test both the levels of state and trait anxiety across various countries. However, the optimal factor structure of STAI-Y in different populations is not consistent and is not clear in Chinese university students. In addition, the gender invariance is the premise for comparing the scores of STAI-Y between men and women which also need to be verified. Therefore, this study explored the optimal factor structure of STAI-Y and examined whether the optimal factor structure satisfied measurement invariance across gender in Chinese university students.

methodA sample of 2117 Chinese university students participated in this study including 748 men and 1369 women. The optimal factor structure was decided by singer group confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Furthermore, the configural invariance, metric invariance, scalar invariance, and strict invariance models were administrated in multigroup CFA to detect the measurement equivalence of STAI-Y across gender in Chinese university students. The reliability of STAI-Y was tested by Cronbach's alpha coefficient and McDonald's omega coefficients.

resultsThe optimal factor structure of STAI-Y was four-factor model and reached strict gender invariance in Chinese university students. Moreover, the STAI-Y also had adequate reliability in Chinese university students.

conclusionThis study explored the factor structure and gender invariance of STAI-Y in Chinese university students. In sum, the four-factor structure of STAI-Y obtained the best goodness-of-fit and satisfied gender invariance which deepened the understanding of STAI-Y in Chinese university students.

Indexed as

factor structureGender invariancestate anxietyState-trait anxiety inventorytrait anxiety

Identifiers

PMID33132946
PMCPMC7578736

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