ANOVA and 3 Important Assumptions of It

Introduction Analysis of Variance (ANOVA) and its variants are foundational techniques in inferential statistics used to compare means across groups and evaluate complex relationships between variables. Read More- Factor Analysis Read More …

Partial and Multiple Correlation: 2 Important Types of Correlations

Introduction In behavioral sciences, understanding relationships between variables is critical. While simple correlation helps establish a linear relationship between two variables, real-world phenomena often involve more complex interdependencies. For example, Read More …

5 Important Multivariate Analysis Technique

Introduction In psychological and behavioral sciences, researchers often need to analyze multiple variables simultaneously to capture the complexity of human behavior. Simple univariate analyses (which involve a single dependent variable) Read More …