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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…
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How to use Chi-Square Test of Independence in Research: A Step-by-Step Guide (Part 1)
If you are a student, researcher, or data analyst dealing with categorical data, the Chi-Square Test is a handy tool in your statistics toolbox. This test was introduced by Karl Pearson, a British mathematician and statistician, in 1900. He developed…
Author
Dr. D. Sampath Kumar
Latest Posts
- How to Conduct Validity of a Research Instrument?
- Sampling Methods in Research: A Comprehensive Guide with Examples
- Reliability Test in Research: Meaning, Importance, and Practical Examples
- Understanding Non-Parametric Tests in Research: A Comprehensive Guide with Real-Life Examples
- How to Conduct a Pilot Study?
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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 Expected frequency Experimental Design Exploratory Design Exploratory Factor Analysis Factor Analysis Feasibility Goodness of Fit Latent Variable Literature Review Longitudinal Design MANOVA Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA New Scale Development Non-Parametric Tests Non-Probability Sampling One Sample t-Test Parametric Tests Pilot Study Population Probability Sampling Qualitative Reliability Reliability Test Research Approach Research Design Research Gap Research Objectives Sample Sampling Sampling Frame Sampling Method Sampling Principles Simple Sample 't' Test Small Sample Test Validity