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Understanding Non-Parametric Tests in Research: A Comprehensive Guide with Real-Life Examples
Introduction In the field of research, statistical analysis plays a crucial role in interpreting data and drawing meaningful conclusions. Traditionally, many researchers rely on parametric tests such as the t-test, ANOVA, or regression analysis. These tests are powerful but come…
Author
Dr. D. Sampath Kumar
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Chi-Square Test of Goodness of Fit Conceptual Framework Construct Cross-Sectional Design Descriptive Design Descriptive Statistical Analysis Distribution-Free Test EFA Experimental Design Exploratory Design Exploratory Factor Analysis Factor Analysis Feasibility Goodness of Fit Highly Correlated Independent Sample 't' Test Latent Variable Literature Review Longitudinal Design MANOVA Modification of Scale Multi-Variate Analysis Multi-Variate Analysis of Variance Multicollinearity Test Multiple ANOVA New Scale Development Non-Parametric Tests One Sample t-Test Original Scale Pilot Study Population Reliability Reliability Test Research Design Research Gap Research Objectives Review of Literature Sample Sampling Sampling Principles Scale Development Simple Sample 't' Test Small Sample Test T Test Variation