Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples

Author:

Rahman Md. Mizanur1,Tabash Mosab I.2,Salamzadeh Aidin3,Abduli Selajdin4,Rahaman Md. Saidur5

Affiliation:

1. BRAC Business School, BRAC University

2. College of Business , Al Ain University , United Arab Emirates .

3. Faculty of Management , University of Tehran , Tehran , Iran

4. South East European University , Tetovo , North Macedonia

5. Metropolitan University Sylhet

Abstract

Abstract Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the enormous number and variety of sampling techniques/methods available, the researcher must be knowledgeable about the differences to select the most appropriate sampling technique/method for the specific study under consideration. In this context, this study also looks into the basic concepts in probability sampling, kinds of probability sampling techniques with their advantages and disadvantages. Social science researchers will benefit from this study since it will assist them in choosing the most suitable probability sampling technique(s) for completing their research smoothly and successfully.

Publisher

Walter de Gruyter GmbH

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