Statistical Data Compilation: Research Subject Demographics, Normality Tests, and MANOVA Results for Digital Citizenship Study Among Indonesian Elementary Students

This dataset contains comprehensive statistical data from a research study examining the influence of blended learning models and internet self-efficacy (ISE) on digital citizenship attitudes among elementary school students in Indonesia. The data presents a factorial experimental design (2x2) with 288 total participants.
The dataset includes demographic distribution of research subjects categorized by learning model (Blended Learning vs. Direct Instruction) and internet self-efficacy levels (High vs. Low), with further subdivision by gender. Statistical validation tests are provided, including Kolmogorov-Smirnov normality tests and Levene's homogeneity tests for all experimental groups, confirming the appropriateness of parametric statistical analysis.
Pretest data t-test results establish baseline equivalence between experimental groups prior to intervention. The main analytical findings are presented through MANOVA results, showing significant main effects for both learning model and internet self-efficacy on digital citizenship attitudes, as well as a significant interaction effect between these variables.
The dataset includes detailed hypothesis testing parameters and results for all three research objectives, alongside a visual representation of the relationships between research variables. This supplemental data supports the primary research paper by providing statistical evidence for the efficacy of blended learning approaches in developing digital citizenship attitudes, particularly among students with high internet self-efficacy.