Using a bifactor exploratory structural equation modeling framework to examine the factor structure of the Depression Anxiety and Stress Scales-21

被引:5
作者
Yilmaz Kogar, Esin [1 ]
Kogar, Hakan [2 ]
机构
[1] Nigde Omer Halisdemir Univ, Dept Educ Sci, Nigde, Turkey
[2] Akdeniz Univ, Dept Educ Sci, Antalya, Turkey
关键词
DASS-21; Bifactor exploratory structural equation modeling; Confirmatory factor analysis; Measurement invariance; OF-FIT INDEXES; PSYCHOMETRIC PROPERTIES; MAXIMUM-LIKELIHOOD; NORMATIVE DATA; DASS-21; VERSION; VALIDATION; COMMUNITY; ALPHA; MULTIDIMENSIONALITY;
D O I
10.1007/s12144-022-03710-x
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This study proposed an improved representation of the DASS-21 factor structure developed by Lovibond and Lovibond in Behaviour Research and Therapy, 33, 335-342 (1995) using bifactor exploratory structural equation modeling (bifactor ESEM). This research was conducted by reference to 521 Turkish adults (45.3% females; M-age = 27.86, SD = 8.23). The bifactor ESEM findings indicated a strong general factor of negative affect underlying responses to all DASS-21 items but also that despite the presence of three specific factors (depression, anxiety, and stress), the depression subscale explained a high degree of variance and could be considered to constitute a specific factor. The results obtained from this study show that there is a common factor associated with DASS-21 scales, the total score of DASS-21 can be identified as a measure of general negative affect, and the bifactor ESEM structure of DASS-21 ensures measurement invariance across genders.
引用
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页码:25807 / 25821
页数:15
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