Dataset of the Indonesian Adaptation of the Adolescent Peer Relations Instrument (APRI) Bullying Perpetration Subscale among Indonesian Senior High School Students

Description

Data were collected using an online questionnaire distributed to Indonesian senior high school students (Grades 10–12) aged approximately 15–18 years. Participants were required to be actively enrolled in a senior high school at the time of data collection. The dataset focuses on the Indonesian adaptation of the Adolescent Peer Relations Instrument (APRI), specifically the bullying perpetration subscale, administered as a standardized self-report instrument to assess students’ involvement in bullying behaviors. Psychometric analyses were conducted using JASP software. Confirmatory factor analysis (CFA) was performed to assess the instrument's factorial validity. Internal consistency reliability was evaluated using Cronbach’s alpha. Accompanying files include the dataset file (.xlsx/.csv) output containing reliability and confirmatory factor analysis results. The model showed good fit (GFI) = 0.988, p < .001; RMSEA = 0.049; CFI = 0.972; TLI = 0.967; SRMR =0.07) and high internal consistency (Cronbach’s α = 0.822). The dataset supports the reliability and validity of the Indonesian Adaptation of the Adolescent Peer Relations Instrument (APRI) Bullying Perpetration Subscale among Indonesian Senior High School Students.

Steps to reproduce

1. Download all dataset files, including individual .csv files for each APRI Bullying Perpetration Subscale dimension and the complete .xlsx dataset (APRI_dataset.xlsx). 2. Open the files in JASP version 0.18.3 or later. The main data file (APRI_dataset(Raw Data).csv or APRI_dataset.xlsx) contains the full responses of 465 participants across 18 APRI items and demographic variables. 3. Conduct Confirmatory Factor Analysis (CFA) using the Maximum Likelihood (ML) estimator to test the 18-item unidimensional model. 4. Evaluate model fit using χ², RMSEA, CFI, TLI, and SRMR indices. The CFA output is provided in APRI_Confirmatory Factor Analysis.csv. 5. Perform reliability analyses (Cronbach’s alpha) for each dimension: Physical aspect, Social aspect and Verbal aspect using the respective .csv files. 6. Compare your results with the reference analyses documented in the APRI_JASP.jasp file to ensure reproducibility.

Institutions

• Universitas Hang Tuah

  East Java, Surabaya

Categories

Licence