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Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly

BACKGROUND: Although previous studies using non- elderly groups have assessed the factorial invariance of the Center for Epidemiological Studies Depression Scale (CES-D) across different groups with the same social-cultural backgrounds, few studies have tested the factorial invariance of the CES-D a...

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Autores principales: Zhang, Baoshan, Fokkema, Marjolein, Cuijpers, Pim, Li, Juan, Smits, Niels, Beekman, Aartjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123656/
https://www.ncbi.nlm.nih.gov/pubmed/21595982
http://dx.doi.org/10.1186/1471-2288-11-74
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author Zhang, Baoshan
Fokkema, Marjolein
Cuijpers, Pim
Li, Juan
Smits, Niels
Beekman, Aartjan
author_facet Zhang, Baoshan
Fokkema, Marjolein
Cuijpers, Pim
Li, Juan
Smits, Niels
Beekman, Aartjan
author_sort Zhang, Baoshan
collection PubMed
description BACKGROUND: Although previous studies using non- elderly groups have assessed the factorial invariance of the Center for Epidemiological Studies Depression Scale (CES-D) across different groups with the same social-cultural backgrounds, few studies have tested the factorial invariance of the CES-D across two elderly groups from countries with different social cultures. The purposes of this study were to examine the factorial structure of the CES-D, and test its measurement invariance across two different national elderly populations. METHODS: A total of 6806 elderly adults from China (n = 4903) and the Netherlands (n = 1903) were included in the final sample. The CES-D was assessed in both samples. Three strategies were used in the data analysis procedure. First, a confirmatory factor analysis (CFA) was carried out to determine the factor structures of the CES-D that best fitted the two samples. Second, the best fitting model was incorporated into a multi-group CFA model to test measurement invariance of the CES-D across the two population groups. Third, latent mean differences between the two groups were tested. RESULTS: The results of confirmatory factor analysis (CFA) showed: 1) in both samples, Radloff's four-factor model resulted in a significantly better fit and the four dimensions (somatic complaints, depressed affect, positive affect, and interpersonal problems) of the CES-D seem to be the most informative in assessing depressive symptoms compared to the single-, three-, and the second-order factor models; and 2) the factorial structure was invariant across the populations under study. However, only partial scalar and uniqueness invariance of the CES-D items was supported. Latent means in the partial invariant model were lower for the Dutch sample, compared to the Chinese sample. CONCLUSIONS: Our findings provide evidence of a valid factorial structure of the CES-D that could be applied to elderly populations from both China and the Netherlands, producing a meaningful comparison of total scores between the two elderly groups. However, for some specific factors and items, caution is required when comparing the depressive symptoms between Chinese and Dutch elderly groups.
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spelling pubmed-31236562011-06-26 Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly Zhang, Baoshan Fokkema, Marjolein Cuijpers, Pim Li, Juan Smits, Niels Beekman, Aartjan BMC Med Res Methodol Research Article BACKGROUND: Although previous studies using non- elderly groups have assessed the factorial invariance of the Center for Epidemiological Studies Depression Scale (CES-D) across different groups with the same social-cultural backgrounds, few studies have tested the factorial invariance of the CES-D across two elderly groups from countries with different social cultures. The purposes of this study were to examine the factorial structure of the CES-D, and test its measurement invariance across two different national elderly populations. METHODS: A total of 6806 elderly adults from China (n = 4903) and the Netherlands (n = 1903) were included in the final sample. The CES-D was assessed in both samples. Three strategies were used in the data analysis procedure. First, a confirmatory factor analysis (CFA) was carried out to determine the factor structures of the CES-D that best fitted the two samples. Second, the best fitting model was incorporated into a multi-group CFA model to test measurement invariance of the CES-D across the two population groups. Third, latent mean differences between the two groups were tested. RESULTS: The results of confirmatory factor analysis (CFA) showed: 1) in both samples, Radloff's four-factor model resulted in a significantly better fit and the four dimensions (somatic complaints, depressed affect, positive affect, and interpersonal problems) of the CES-D seem to be the most informative in assessing depressive symptoms compared to the single-, three-, and the second-order factor models; and 2) the factorial structure was invariant across the populations under study. However, only partial scalar and uniqueness invariance of the CES-D items was supported. Latent means in the partial invariant model were lower for the Dutch sample, compared to the Chinese sample. CONCLUSIONS: Our findings provide evidence of a valid factorial structure of the CES-D that could be applied to elderly populations from both China and the Netherlands, producing a meaningful comparison of total scores between the two elderly groups. However, for some specific factors and items, caution is required when comparing the depressive symptoms between Chinese and Dutch elderly groups. BioMed Central 2011-05-20 /pmc/articles/PMC3123656/ /pubmed/21595982 http://dx.doi.org/10.1186/1471-2288-11-74 Text en Copyright ©2011 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Baoshan
Fokkema, Marjolein
Cuijpers, Pim
Li, Juan
Smits, Niels
Beekman, Aartjan
Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title_full Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title_fullStr Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title_full_unstemmed Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title_short Measurement invariance of the center for epidemiological studies depression scale (CES-D) among chinese and dutch elderly
title_sort measurement invariance of the center for epidemiological studies depression scale (ces-d) among chinese and dutch elderly
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123656/
https://www.ncbi.nlm.nih.gov/pubmed/21595982
http://dx.doi.org/10.1186/1471-2288-11-74
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