Dataset from the Indonesian Adaptation of the Center for Epidemiologic Studies Depression Scale (CES-D) for Emerging Adults
Description
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.
Files
Steps to reproduce
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.
Institutions
- Bina Nusantara University