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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 Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Ethics in Research Expected frequency Experimental Design Feasibility Goodness of Fit Highly Correlated Literature Review Longitudinal Design Mixed Modification of Scale Multi-Variate Analysis Multicollinearity Test New Scale Development Non-Parametric Tests Non-Probability Sampling Original Scale Parametric Tests Pilot Study Primary Data Probability Sampling Qualitative Quantitative Questionnaire Reliability Research Approach Research Design Research Ethics Research Gap Research Objectives Review of Literature Sampling Sampling Frame Scale Development Secondary Data Survey Theoretical Framework Validity