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Sampling in Research (Principles and Practices)
Introduction In the world of academic and applied research, especially when studying human behaviour, health outcomes, market trends, or technological adoption, the accuracy and credibility of findings often depend on sampling. However, an equally important yet sometimes overlooked concept is…
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How to Conduct MANOVA? With Practical Examples
In today’s data-driven world, researchers often encounter situations where they need to examine the effect of independent variables on multiple dependent variables simultaneously. This is where MANOVA (Multivariate Analysis of Variance) becomes an essential statistical tool. In this blog, we’ll…
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How to Conduct a One Sample t-Test? (With Practical Examples)
Introduction The One Sample t-test is a fundamental statistical tool used in research to test whether the mean of a sample is significantly different from a known or hypothesized population mean. It is widely used in social sciences, business research,…
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How to Conduct Exploratory Factor Analysis (EFA)? A Step-by-Step Guide with Practical Examples
Introduction In research, particularly in the social sciences, we often deal with concepts that are not directly observable. These are known as latent constructs or latent variables or underlying factors. For example, concepts such as customer satisfaction, brand loyalty, motivation,…
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How to conduct Independent Sample ‘t’ Test: A Practical Guide with Cross-Disciplinary Examples
In research, comparing the means of two independent groups is a common requirement to validate a hypothesis or test a theory. The Independent Sample ‘t’ Test, also known as the two-sample t-test, is a fundamental statistical tool used for this…
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How to Conduct Descriptive Statistical Analysis?
Descriptive statistical analysis is the foundation of quantitative research. It helps researchers summarize, organize, and interpret large datasets in a meaningful way using simple mathematical tools. Whether you’re working on consumer behaviour, health sciences, education, finance, or environmental studies, descriptive…
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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…
Author
Dr. D. Sampath Kumar
Latest Posts
- Sampling in Research (Principles and Practices)
- How to Conduct MANOVA? With Practical Examples
- How to Conduct a One Sample t-Test? (With Practical Examples)
- How to Conduct Exploratory Factor Analysis (EFA)? A Step-by-Step Guide with Practical Examples
- How to conduct Independent Sample ‘t’ Test: A Practical Guide with Cross-Disciplinary Examples
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Analysis of Variance Before-After Test Chi-Square Test Chi-Square Test of Independence Conceptual Framework Confounding Variable Construct Contingency Table Dependent Sample 't' Test Descriptive Statistical Analysis Distribution-Free Test EFA Exploratory Factor Analysis Factor Analysis Independent Sample 't' Test Latent Variable MANOVA Matched Paired Sample 't' test Mean Analysis Measures of Central Tendency Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA Non-Parametric Test One-Way ANOVA One Sample t-Test Paired Sample 't' Test Pearson Population Relationship Repeated Measures ANOVA Research Model Research Objectives Sample Sample Size Sample Size Determination Sampling Sampling Principles Simple Sample 't' Test Small Sample Test Spearman Theoretical Framework T Test Two-Way ANOVA Variation