Open AccessSampling Designs in Qualitative Research: Making the Sampling Process More Public
Author(s) -
Anthony J. Onwuegbuzie,
Nancy L. Leech
Publication year - 2015
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2007.1636
Subject(s) - sampling (signal processing) , sampling design , sample (material) , typology , cluster sampling , statistics , poisson sampling , stratified sampling , computer science , sample size determination , slice sampling , mathematics , markov chain monte carlo , bayesian probability , sociology , population , chemistry , demography , filter (signal processing) , chromatography , anthropology , computer vision
The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study; (b) nested sampling designs, which are sampling strategies that facilitate credible comparisons of two or more members of the same subgroup, wherein one or more members of the subgroup represent a sub-sample of the full sample; and (c) multilevel sampling designs, which represent sampling strategies that facilitate credible comparisons of two or more subgroups that are extracted from different levels of study.