-
NON-PROBABILITY SAMPLING IN RESEARCH
Introduction Non-probability sampling plays an important role in research when it is not feasible, practical, or necessary to select participants using statistical probability. Unlike probability sampling, where every unit has a known and equal chance of selection, non-probability sampling relies…
-
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,…
Author
Dr. D. Sampath Kumar
Latest Posts
Tags
Chi-Square Test of Goodness of Fit Conceptual Framework Cronbach’s Alpha Test Cross-Sectional Design Data Analysis Data Collection Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Ethics in Research Expected frequency Experimental Design Exploratory Design Goodness of Fit Highly Correlated Likert Scales Literature Review Longitudinal Design Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multicollinearity Test Multiple ANOVA Non-Probability Sampling Population Primary Data Probability Sampling Qualitative Quantitative Questionnaire Research Approach Research Design Research Ethics Research Gap Research Objectives Review of Literature Sample Sampling Sampling Frame Sampling Principles Secondary Data Semantic Differential Likert Scale Survey Theoretical Framework Type-II Error