Datasets Comparison

This dataset was generated from the Indonesian adaptation of the Center for Epidemiologic Studies Depression Scale (CES-D), developed to assess depressive symptoms among emerging adults. Data were collected from 236 participants aged 18-29 years residing in Greater Jakarta, Indonesia, with 221 valid responses retained after applying eligibility criteria. The dataset includes responses to 20 self-report items measuring depressive symptoms and demographic variables (age, gender, education). The CES-D was translated and culturally adapted following international guidelines using forward–backward translation and expert review to ensure conceptual and linguistic equivalence. Accompanying files include the dataset file (.xlsx/.csv) output containing reliability and confirmatory factor analysis results. The model showed good fit (χ²(166) = 296.639, p < .001; RMSEA = 0.041; CFI = 0.932; TLI = 0.922; SRMR = 0.057) and high internal consistency (Cronbach’s α = 0.915). The dataset supports the reliability and validity of the Indonesian CES-D and can inform future studies on depression among emerging adults.

1. Download all dataset files, including individual .csv files for each CES-D dimension and the complete .xlsx dataset (CESD_dataset.xlsx). 2. Open the files in JASP version 0.18.3 or later. The main data file (CESD_dataset(Raw Data).csv or CESD_dataset.xlsx) contains the full responses of 221 participants across 20 CES-D items and demographic variables. 3. Conduct Confirmatory Factor Analysis (CFA) using the Maximum Likelihood (ML) estimator to test the 20-item unidimensional model. 4. Evaluate model fit using χ², RMSEA, CFI, TLI, and SRMR indices. The CFA output is provided in CESD_dataset(Confirmatory Factor Analysis).csv. 5. Perform reliability analyses (Cronbach’s alpha) for each dimension: Anhedonia, Somatic Symptoms, Negative Affect, and Interpersonal using the respective .csv files. 6. Compare your results with the reference analyses documented in the JASP_output.pdf file to ensure reproducibility.

Clinical Psychology, Mental Health, Psychometrics

Creative Commons Attribution 4.0 International

This dataset was generated from the Indonesian adaptation of the Center for Epidemiologic Studies Depression Scale (CES-D), developed to assess depressive symptoms among emerging adults. Data were collected from 236 participants aged 18-29 years residing in Greater Jakarta, Indonesia, with 221 valid responses retained after applying eligibility criteria. The dataset includes responses to 20 self-report items measuring depressive symptoms and demographic variables (age, gender, education). The CES-D was translated and culturally adapted following international guidelines using forward–backward translation and expert review to ensure conceptual and linguistic equivalence. Accompanying files include the dataset file (.xlsx/.csv) output containing reliability and confirmatory factor analysis results. The model showed good fit (χ²(166) = 296.639, p < .001; RMSEA = 0.041; CFI = 0.932; TLI = 0.922; SRMR = 0.057) and high internal consistency (Cronbach’s α = 0.915). The dataset supports the reliability and validity of the Indonesian CES-D and can inform future studies on depression among emerging adults.

1. Download all dataset files, including individual .csv files for each CES-D dimension and the complete .xlsx dataset (CESD_dataset.xlsx). 2. Open the files in JASP version 0.18.3 or later. The main data file (CESD_dataset(Raw Data).csv or CESD_dataset.xlsx) contains the full responses of 221 participants across 20 CES-D items and demographic variables. 3. Conduct Confirmatory Factor Analysis (CFA) using the Maximum Likelihood (ML) estimator to test the 20-item unidimensional model. 4. Evaluate model fit using χ², RMSEA, CFI, TLI, and SRMR indices. The CFA output is provided in CESD_dataset(Confirmatory Factor Analysis).csv. 5. Perform reliability analyses (Cronbach’s alpha) for each dimension: Anhedonia, Somatic Symptoms, Negative Affect, and Interpersonal using the respective .csv files. 6. Compare your results with the reference analyses documented in the JASP_output.pdf file to ensure reproducibility.

Clinical Psychology, Mental Health, Psychometrics

Creative Commons Attribution 4.0 International