大学生多维状态焦虑量表的心理测量特性：基于因子分析和网络分析

Objective: To develop and validate the Multidimensional State Anxiety Scale for College Students (MSAS-CS) . Methods: First, the open-ended questionnaires were administered (n =165). Second, items analysis, exploratory factors analysis (EFA), and network analysis (NA) were performed in first sample (n?= 286). Third, confirmatory factor analysis (CFA) and reliability and validity analysis were conducted in second sample (n?= 245). Finally, measurement invariance tests were used in third sample (n?= 699). Results: Twenty-seven items were selected and seven factors were extracted (social anxiety, academic anxiety, family anxiety, future anxiety, gender anxiety, appearance anxiety, and economic anxiety). The network analysis showed that EA3, AA3, GNA1, FA3, FRA4, LA1, and SCA5 had high centrality?in ?entry network and social anxiety had the highest centrality (closeness = 1.388) in factor network. The internal consistency of MSAS-CS and its four dimensions ranged from 0.792 to 0.948. Meanwhile, the construct validity (χ2/df=2.706GFI=0.918RMSEA=0.049CFI=0.951NFI=0.924NNFI=0.943TLI=0.943IFI=0.951), discriminant validity, and criterion-related validity (r > .60p?< 0.001) was satisfying. Conclusion: The Multidimensional State Anxiety Scale for College Students (MSAS-CS) is reliable and valid in measuring the anxiety level of Chinese college students.