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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…
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Dr. D. Sampath Kumar
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Chi-Square Test of Goodness of Fit Conceptual Framework Cross-Sectional Design Data Analysis Data Collection Data Presentation Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Expected frequency Experimental Design Exploratory Design Goodness of Fit Likert Scales Literature Review Longitudinal Design MANOVA Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA One Sample t-Test Population Primary Data Qualitative Quantitative Questionnaire Research Approach Research Design Research Gap Research Objectives Review of Literature Sample Sampling Sampling Frame Sampling Principles Secondary Data Semantic Differential Likert Scale Simple Sample 't' Test Survey Theoretical Framework Type-I Error Type-II Error Validity Validity of Research Instrument