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The Factor Structure, Predictors, and Percentile Norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking Adult Population of Belgium
by
Brose, Annette
, Erbas, Yasemin
, Wu, Qian
, Janssen, Rianne
, Kuppens, Peter
in
Adults
/ Age
/ depression
/ Discriminant analysis
/ Gender
/ Mental depression
/ Mental disorders
/ MIMIC
/ percentile norms
/ Population
/ second-order factor
/ Sociodemographics
/ the CES-D
2016
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The Factor Structure, Predictors, and Percentile Norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking Adult Population of Belgium
by
Brose, Annette
, Erbas, Yasemin
, Wu, Qian
, Janssen, Rianne
, Kuppens, Peter
in
Adults
/ Age
/ depression
/ Discriminant analysis
/ Gender
/ Mental depression
/ Mental disorders
/ MIMIC
/ percentile norms
/ Population
/ second-order factor
/ Sociodemographics
/ the CES-D
2016
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Do you wish to request the book?
The Factor Structure, Predictors, and Percentile Norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking Adult Population of Belgium
by
Brose, Annette
, Erbas, Yasemin
, Wu, Qian
, Janssen, Rianne
, Kuppens, Peter
in
Adults
/ Age
/ depression
/ Discriminant analysis
/ Gender
/ Mental depression
/ Mental disorders
/ MIMIC
/ percentile norms
/ Population
/ second-order factor
/ Sociodemographics
/ the CES-D
2016
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The Factor Structure, Predictors, and Percentile Norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking Adult Population of Belgium
Journal Article
The Factor Structure, Predictors, and Percentile Norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking Adult Population of Belgium
2016
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Overview
The Center of Epidemiologic Studies Depression Scale (CES-D) is a commonly used self-report scale to measure depressive symptoms in the general population. In the present study, the Dutch version of the CES-D was administered to a sample of 837 Dutch-speaking adults of Belgium to examine the factor structure of the scale. Using confirmatory factory analysis (CFA), four first-order models and two second-order models were tested, and the second-order factor model with three pairs of correlated error terms provided the best fit to the data. Second, five socio-demographic variables (age, gender, education level, relation status, and family history of depression) were included as covariates to the second-order factor model to explore the associations between background characteristics and the latent factor depression using a multiple indicators and multiple causes (MIMIC) approach. Age had a significantly negative effect on depression, but the effect was not substantial. Female gender, lower education level, being single or widowed, and having a family history of depression were found to be significant predictors of higher levels of depression symptomatology. Finally, percentile norms on the CES-D raw scores were provided for subgroups of gender by education level for the general Dutch-speaking adult population of Belgium.
Publisher
Ubiquity Press
Subject
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