Statistics helps researchers summarize data, test hypotheses, examine relationships, validate measurement tools, and interpret research findings. It is essential for students, thesis writers, and researchers who use survey data, experimental data, administrative data, or secondary datasets.
This page is a learning hub for statistical analysis in academic research. It covers basic statistics, hypothesis testing, statistical tests, reliability and validity analysis, factor analysis, structural equation modeling, and result interpretation.
How to Conduct Exploratory Factor Analysis (EFA): 11 Steps Roadmap
Kaiser-Meyer-Olkin (KMO) Test in Factor Analysis: How to Conduct and Interpret it
Bartlett’s Test of Sphericity for Exploratory Factor Analysis