Unit 2 Sampling

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Herzing University *

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Health Science

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Jun 14, 2024

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Unit 2 – Sampling How do the sampling methods and sample sizes vary for the different types of quantitative and qualitative research? Sampling is the process of selecting people, behaviors, events, or other elements that will be studied (Gray et al., 2016). A sampling plan is formed using either probability or nonprobability sampling techniques. Probability or random sampling methods include stratified random sampling, systematic sampling, cluster sampling, and simple random sampling. Quantitative studies are likely to use probability sampling because each member of a group has a known chance of being included in the sample. Nonprobability or nonrandom sampling methods include convenience, quota, purposeful, network/snowball, and theoretical sampling. Nonprobability methods pose a higher risk of sampling bias occurring because not every individual has a chance of being included in the sample. In quantitative studies, sample size is best determined using a power analysis, using standard power of 80%, level of significance (usually = 0.05), and effect size (Gray et al., 2016). In qualitative studies, sample size is determined by the studies purpose and philosophical basis of the study (Gray et al., 2016). Hypothetically, what sampling method would you use to conduct a study of your selected evidence-based practice problem/topic? Why? If I were to conduct a study of nonopioid alternative therapies effects on pain level and quality of life compared to opioid therapy, I would use the stratified random sampling method. Some variables used for stratification sampling would be hospice patients receiving nonopioid alternative therapy and hospice patients receiving opioid therapy for pain management. Stratified
sampling allows you to use smaller samples sizes, decreases sampling errors, data collection times decreased, and power increases (Gray et al., 2016). How would you determine the sample type and size? The sample size should be calculated using a power analysis, however if there is not enough information for a power analysis to be completed, it is recommended that thirty subjects be used per study variable (Gray et al., 2016). References Gray, J. R., Grove, S. K., & Sutherland, S. (2016). Burns and grove's the practice of nursing research - e-book: Appraisal, synthesis, and generation of evidence (8th ed.). Saunders.
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