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題名 Applying structural equation modeling to report psychometric properties of Chinese version 10-item CES-D depression scale
作者 Yu, S.-C.;Lin, Y.-H.;Hsu, Wei-Hsin
貢獻者 教育系
關鍵詞 Confirmatory factor analysis; Depression scale; Structural equation modeling; Validity
日期 2013
上傳時間 21-五月-2015 17:02:05 (UTC+8)
摘要 This study investigates the psychometric properties of Chinese-version short-form 10-item CES-D (i. e., CESD-10) in clinical depression patients and non-clinical college students by structural equation modeling approach. Several statistical procedures are applied to investigate the psychometric properties of CESD-10. First, the single factor model of CESD-10 shows merely mediocre fit due to "error term correlations". The two pairs of error term correlations indicate that CESD-10 has redundant items and negative-worded effect. The revised model, based on the modification index, demonstrates good fit, and is adopted for subsequent analysis. Results of the SEM-based method show that configure invariance holds, while weak factorial invariance is not supported. A comparison the psychometric properties of the two groups shows that the clinical sample has better reliability, while the non-clinical sample has superior factorial validity. This finding confirms that the Chinese-version CESD-10 is most appropriate for the nonclinical, general population, although it is also valid for the clinically depressed. © 2011 Springer Science+Business Media B.V.
關聯 Quality and Quantity, 47(3), 1511-1518
資料類型 article
DOI http://dx.doi.org/10.1007/s11135-011-9604-0
dc.contributor 教育系-
dc.creator (作者) Yu, S.-C.;Lin, Y.-H.;Hsu, Wei-Hsin-
dc.date (日期) 2013-
dc.date.accessioned 21-五月-2015 17:02:05 (UTC+8)-
dc.date.available 21-五月-2015 17:02:05 (UTC+8)-
dc.date.issued (上傳時間) 21-五月-2015 17:02:05 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75263-
dc.description.abstract (摘要) This study investigates the psychometric properties of Chinese-version short-form 10-item CES-D (i. e., CESD-10) in clinical depression patients and non-clinical college students by structural equation modeling approach. Several statistical procedures are applied to investigate the psychometric properties of CESD-10. First, the single factor model of CESD-10 shows merely mediocre fit due to "error term correlations". The two pairs of error term correlations indicate that CESD-10 has redundant items and negative-worded effect. The revised model, based on the modification index, demonstrates good fit, and is adopted for subsequent analysis. Results of the SEM-based method show that configure invariance holds, while weak factorial invariance is not supported. A comparison the psychometric properties of the two groups shows that the clinical sample has better reliability, while the non-clinical sample has superior factorial validity. This finding confirms that the Chinese-version CESD-10 is most appropriate for the nonclinical, general population, although it is also valid for the clinically depressed. © 2011 Springer Science+Business Media B.V.-
dc.format.extent 201692 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Quality and Quantity, 47(3), 1511-1518-
dc.subject (關鍵詞) Confirmatory factor analysis; Depression scale; Structural equation modeling; Validity-
dc.title (題名) Applying structural equation modeling to report psychometric properties of Chinese version 10-item CES-D depression scale-
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s11135-011-9604-0-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s11135-011-9604-0-