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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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How to Use Paired Sample t-Test in Research? A Guide with Practical Examples
The Paired Sample t-test (also called Dependent Sample t-test) is a statistical tool that helps you compare two related sets of data — usually “before and after” situations. It tells you whether the difference between two time points, two conditions,…
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How to conduct ANOVA in Research? (With Practical Examples)
If you’re doing research and dealing with comparing more than two groups, you’ve probably come across the term ANOVA. In the world of research, whether you’re in education, business, psychology, or healthcare, you’ll often come across situations where you need…
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How to Use Correlation to find Relationships in Data?
In the world of data, correlation analysis works like a detective—it finds and connects relationships between different things. No matter if you’re an artist, a business planner, a commerce professional, or someone interested in science, knowing how things are related…
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Regression Analysis: A Beginner’s Guide with Practical Examples
If you’ve ever wondered how businesses predict sales, how economists forecast trends, or how analysts estimate relationships between variables. Regression Analysis is often the magic behind the scenes. In this blog post, we’ll break down the concept of Regression Analysis,…
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How to Select the Right Variables for Research?
Selecting the right variables is a crucial step in designing a research study. The choice of variables determines the quality of data collected, the effectiveness of analysis, and the overall validity of research findings. Whether conducting quantitative, qualitative, or mixed-methods…
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How to Frame Objectives of the Research? A Practical Guide
Introduction Framing research objectives is a crucial step in conducting a study, as they provide clear direction and focus. Well-defined objectives help researchers stay on track, guide data collection, and ensure the study meets its intended goals. In this blog,…
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How to Find a Research Gap: A Practical Guide with Examples
Identifying a research gap is one of the most crucial steps in academic research. A research gap refers to an unexplored or underexplored area within a specific field that presents an opportunity for new investigations. Finding a research gap ensures…
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Testing of Hypothesis: A Guide with Practical Examples
Introduction Hypothesis testing is a crucial aspect of research that allows scholars and professionals to make data-driven decisions. It is a statistical method used to determine whether there is enough evidence in a sample data set to infer a conclusion…
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How to determine Sample Size for Research: A Practical Guide with Examples
Introduction Sampling is the process of selecting a subset of individuals or elements from a larger population to represent the entire group in a research study, making data collection more practical in terms of time, cost, and feasibility. A well-chosen…
Author
Dr. D. Sampath Kumar
Latest Posts
- How to use Chi-Square Test of Independence in Research: A Step-by-Step Guide (Part 1)
- How to Use Paired Sample t-Test in Research? A Guide with Practical Examples
- How to conduct ANOVA in Research? (With Practical Examples)
- How to Use Correlation to find Relationships in Data?
- Regression Analysis: A Beginner’s Guide with Practical Examples
Tags
Analysis of Variance Before-After Test Chi-Square Test Chi-Square Test of Independence Conceptual Framework Confounding Variable Contingency Table Control Variables Correlation Analysis Data Analysis Dependent Sample 't' Test Dependent Variable Descriptive Statistical Analysis Distribution-Free Test Formulation of Research Problem Framing Objectives of Research How to Identification of Research Problem Independent Variable Inferential Statistical Analysis Linear Regression Matched Paired Sample 't' test Mediating Variable Moderating Variable Multiple Regression Analysis Non-Parametric Test One-Way ANOVA Paired Sample 't' Test Pearson Problem Statement Qualitative Analysis Quantitative Analysis Questionnaire Preparation Regression Analysis Relationship Repeated Measures ANOVA Research Design Research Guidance Research Objectives Research Questions Selection of Variables Simple Regression Spearman Two-Way ANOVA Variable Types