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A beginner's guide to sampling methods in medical research

Publish Year: 1400
Type: Journal paper
Language: English
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JR_CCB-2-2_004

Index date: 23 October 2021

A beginner's guide to sampling methods in medical research 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 were provided.Results: Five cases of probabilistic sampling methods and four cases of non-probabilistic sampling methods that are common were taught. 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 were also mentioned.Conclusion: Probabilistic sampling methods despite limiting assumptions provide more reliable results. Therefore, if it is possible, researchers should use probabilistic sampling methods for the accuracy of the study.

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A beginner's guide to sampling methods in medical research authors

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.

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