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Understanding Multicollinearity Test
In the world of multiple regression analysis, multicollinearity can quietly weaken your statistical models. It may not crash your software or throw visible errors, but it can alter your results, increase standard errors, and weaken the reliability of your conclusions.…
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How to Conduct a Literature Review with Practical Examples?
A literature review is not merely a summary of existing studies. It is a critical synthesis that maps out what is known, what is debated, and what is yet to be explored in a particular field of research. A well-structured…
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Data Collection Methods in Research: A Complete Guide with Real-World Examples
Introduction In any research journey—whether it’s in social sciences, healthcare, engineering, education, or business—the cornerstone of reliable findings lies in one crucial element: data. The way data is collected not only determines the validity and reliability of your results but…
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Understanding Research Approach: Foundation of Systematic Inquiry
Research is the cornerstone of knowledge development across every discipline—from science and technology to humanities and social sciences. At the heart of any research activity lies the research approach, which serves as a blueprint for how the study is conducted.…
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Understanding Sampling Frame: The Backbone of Effective Research
In any research that involves data collection from a population, one of the most crucial steps is defining whom to collect the data from. This is where the concept of a sampling frame comes into play. A sampling frame is…
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How to use Chi-Square Test of Goodness of Fit in Research: A Step-by-Step Guide (Part 2)
The Chi-Square Test of Goodness of Fit is a statistical method used to determine whether a set of observed frequencies significantly differs from expected frequencies derived from a particular theoretical distribution. This non-parametric test is widely applied when dealing with…
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How to develop an effective Research Design: A Practical Guide with Real-World Examples
Whether you are exploring consumer behaviour, studying climate change, or testing a new teaching method, research design forms the foundation of how you collect, analyse, and interpret data. It is essentially the blueprint of any study, ensuring that the evidence…
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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,…
Author
Dr. D. Sampath Kumar
Latest Posts
- Understanding Multicollinearity Test
- How to Conduct a Literature Review with Practical Examples?
- Data Collection Methods in Research: A Complete Guide with Real-World Examples
- Understanding Research Approach: Foundation of Systematic Inquiry
- Understanding Sampling Frame: The Backbone of Effective Research
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Conceptual Framework Construct Contingency Table Cross-Sectional Design Data Collection Descriptive Design Descriptive Statistical Analysis Distribution-Free Test EFA Exploratory Design Exploratory Factor Analysis Factor Analysis Independent Sample 't' Test Latent Variable Literature Review Longitudinal Design MANOVA Mean Analysis Measures of Central Tendency Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multicollinearity Test Multiple ANOVA Non-Parametric Test One Sample t-Test Population Primary Data Qualitative Quantitative Questionnaire Research Approach Research Design Research Gap Research Objectives Review of Literature Sample Sampling Sampling Principles Secondary Data Simple Sample 't' Test Small Sample Test Survey T Test Variation