Sampling & Sample Size Considerations Adapted

Jun 17th, 2015
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Sampling, as it relates to research, refers to the selection of individuals, units, and/or settings to be studied.

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Study Notes:Qualitative Research: Sampling & Sample Size ConsiderationsAdapted from a presentation by Dr. Bonnie Nastasi, Director of School Psychology Program Sampling for Qualitative ResearchSampling, as it relates to research, refers to the selection of individuals, units, and/or settings to be studied. Whereas quantitative studies strive for random sampling, qualitative studies often use purposeful or criterion-based sampling, that is, a sample that has the characteristics relevant to the research question(s). For example, if you are interested in studying adult survivors of childhood sexual abuse, interviewing a random sample of 10 people may yield only one adult survivor, thus, you will essentially have a sample size of one and need to continue to randomly sample people until you have interviewed an appropriate number of who have survived childhood sexual abuse. This is not a wise use of your time. The difference in sampling strategies between quantitative and qualitative studies is due to the different goals of each research approach. Recall that typical quantitative research seeks to infer from a sample to a population (for example, a relationship or a treatment effect). In general, you want to include a variety of types of people in a quantitative study so that it generalizes beyond those in your study. Thus, the goal of quantitative approaches can be stated as, empirical generalization to many. Qualitative research, on the other hand, typically st

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