It is the process of assigning participants or elements to different groups purely by chance, rather than by choice or pattern. It is commonly used in experimental research to ensure that each participant has an equal chance of being placed in any group, which helps eliminate bias and increases the reliability of the results.
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Analysis of Variance Before-After Test Chi-Square Test Chi-Square Test of Independence Conceptual Framework Confounding Variable Construct Contingency Table Cross-Sectional Design Dependent Sample 't' Test Descriptive Design Descriptive Statistical Analysis Distribution-Free Test EFA Experimental Design Exploratory Design Exploratory Factor Analysis Factor Analysis Independent Sample 't' Test Latent Variable Longitudinal Design MANOVA Matched Paired Sample 't' test Mean Analysis Measures of Central Tendency Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA Non-Parametric Test One-Way ANOVA One Sample t-Test Paired Sample 't' Test Population Repeated Measures ANOVA Research Design Research Objectives Sample Sampling Sampling Principles Simple Sample 't' Test Small Sample Test Testing of Hypothesis T Test Two-Way ANOVA Variation