A beginner's Guide to Sampling Methods in Medical Research

Moslem  Basti; Farzan  Madadizadeh

doi:10.18502/ccb.v2i2.7397

Moslem Basti Center For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School Of Public Health, Shahid Sadoughi University Of Medical Sciences, Yazd, Iran
Farzan Madadizadeh Center For Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School Of Public Health, Shahid Sadoughi University Of Medical Sciences, Yazd, Iran

DOI: https://doi.org/10.18502/ccb.v2i2.7397

Keywords: Sampling, Probability Samples, Sampling Study

Abstract

Background: Sampling methods are one of the main components of each research. Familiarity with a variety of sampling methods is essential for researchers.

Objective: The main purpose of this study was to teach different probabilistic and non-probabilistic sampling methods to improve the knowledge of researchers in conducting more accurate research.

Methods: In this tutorial article, useful information about each sampling method, as well as how to properly use each method and its strengths and weaknesses are provided.

Results: Five cases of probabilistic sampling methods and four cases of non-probabilistic sampling methods that are common are mentioned. Probabilistic sampling included simple random sampling, stratified random sampling, cluster sampling, systematic random sampling, and multi-stage random sampling. In addition to introducing each method, its strengths and weaknesses are also mentioned.

Conclusion: Probabilistic sampling methods despite limiting assumptions provide more reliable results. Therefore, if it is possible, researchers should use probabilistic sampling methods to increase the accuracy of the study.