Latent means in the partial invariant model were lower for the Dutch sample, compared to the Chinese sample.

However, only partial scalar and uniqueness invariance of the CES-D items was supported. 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. Third, latent mean differences between the two groups were tested. 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. First, a confirmatory factor analysis (CFA) was carried out to determine the factor structures of the CES-D that best fitted the two samples.

Three strategies were used in the data analysis procedure. MethodsĪ total of 6806 elderly adults from China (n = 4903) and the Netherlands (n = 1903) were included in the final sample. 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. 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.

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