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How to Conduct Validity of a Research Instrument?
When conducting research, the strength of the conclusions largely depends on the quality of the research instrument used for data collection. A poorly designed questionnaire can result in misleading or unusable findings, while a well-validated instrument ensures accuracy, credibility, and…
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Sampling Methods in Research: A Comprehensive Guide with Examples
Introduction In any research, data collection plays a central role in ensuring the validity and reliability of the findings. However, it is not always possible to collect information from every individual in a population due to limitations of time, cost,…
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Reliability Test in Research: Meaning, Importance, and Practical Examples
Introduction In the field of research, whether academic, scientific, or applied, one of the most critical aspects of any measurement tool or instrument is its reliability. A research study may have a clear objective, strong theoretical foundation, and advanced statistical…
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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 Conduct a Pilot Study?
When researchers embark on a new study—whether in social sciences, business, healthcare, or market research—there is always a degree of uncertainty. Will the questionnaire work? Are the questions clear? Will participants respond as expected? This is where a pilot study…
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Scale Development in Research: A Step-by-Step Guide with Practical Examples
Introduction In research, measuring something that is not directly visible—like motivation, job satisfaction, or stress—can be challenging. This is where scale development comes in. Scale development is the process of creating a reliable and valid set of questions (items) that…
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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.…
Author
Dr. D. Sampath Kumar
Latest Posts
- How to Conduct Validity of a Research Instrument?
- Sampling Methods in Research: A Comprehensive Guide with Examples
- Reliability Test in Research: Meaning, Importance, and Practical Examples
- Understanding Non-Parametric Tests in Research: A Comprehensive Guide with Real-Life Examples
- How to Conduct a Pilot Study?
Tags
Chi-Square Test of Goodness of Fit Conceptual Framework Construct Cross-Sectional Design Descriptive Design Descriptive Statistical Analysis Distribution-Free Test EFA Expected frequency Experimental Design Exploratory Design Exploratory Factor Analysis Factor Analysis Feasibility Goodness of Fit Latent Variable Literature Review Longitudinal Design MANOVA Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA New Scale Development Non-Parametric Tests Non-Probability Sampling One Sample t-Test Parametric Tests Pilot Study Population Probability Sampling Qualitative Reliability Reliability Test Research Approach Research Design Research Gap Research Objectives Sample Sampling Sampling Frame Sampling Method Sampling Principles Simple Sample 't' Test Small Sample Test Validity