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Sampling in Qualitative Research

Contributions, Logic and Issues in Qualitative Sampling

❶Second, use of a single stage strategy for purposeful sampling for qualitative portions of a mixed methods implementation study should adhere to the same general principles that govern all forms of sampling, qualitative or quantitative.

Purposive sampling

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Principles of Purposeful Sampling

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Yes, you still can do the puposive sampling for quantitative analysis. In quantitaive analysis, you have two techniques such as parametric and non-parametric techniques involved. Basically, probability sampling is suit to parametric tecnique since the this application need normality data for an analysis.

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Sampling and types of sampling methods commonly used in quantitative research are discussed in the following module. Learning Objectives: Define sampling and randomization.

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c. Purposive or Judgmental Sample i. Purposive sampling is an acceptable kind of sampling for special situations. It uses the judgment of an expert in selecting cases or it selects cases with a specific purpose in mind. Purposive sampling is used most often when a difficult-to-reach population needs to be measured. d. Snowball Sampling i. Critical case sampling is a type of purposive sampling technique that is particularly useful in exploratory qualitative research, research with limited resources, as well as research where a single case (or small number of cases) can be decisive in explaining the phenomenon of interest.

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In purposive sampling personal judgment needs to be used to choose cases that help answer research questions or achieve research objectives. According to the type of cases, purposive sampling can be divided into the following six categories [1]. On the other hand, when the initial method is quantitative, the sample selected may be too large for each individual to be included in qualitative inquiry and lack purposeful selection to reduce the sample size to one more appropriate for qualitative research.