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Substantive comments add to the discussion and provide your fellow students with
Substantive comments add to the discussion and provide your fellow students with information that will enhance the learning environment.
References and citations should conform to the APA standards.
Remember: Please respect the opinions of others, even if their views differ. In other words, disagree professionally and respectfully.
Plagiarism is never acceptable – give credit when credit is due – cite your sources.
DOI reference link
Responses need to address all components of the question, demonstrate critical thinking and analysis, and include peer reviewed journal evidence to support the student’s position.
PLEASE RESPOND TO THE FOLLOWING POST:
How do the sampling methods and sample sizes vary for the different types of quantitative and qualitative research?
Quantitative and outcomes studies incorporate a variety of probability and nonprobability sampling techniques. The probability sampling method ensures that every member of the population has a greater than zero chance of being chosen for the sample (Gray & Grove, 2017). A noted benefit of random sampling is the decreased likelihood of systemic bias, leaving the selection completely to chance. By additionally minimizing the sampling error, the study’s validity increases (Gray & Grove, 2017). To be able to accommodate these requirements, quantitative sample sizes are typically on a much larger scale. In contrast, qualitative research commonly incorporates non-probability sampling techniques including purposive sampling, quota sampling, and snowball sampling. These methods are specifically designed to choose participants who are capable of offering extensive and precise information about the phenomenon being researched and unlike random sampling, not every member of the population has a chance for selection (Gray & Grove, 2017). Typically, the sample size in qualitative research is smaller. This is due to the previously mentioned emphasis placed on acquiring a thorough understanding of the participants’ experiences and points of view, necessitating considerable data collection and analysis (Gray & Grove, 2017). However, in regard to sample sizes, the most important theme I noted was the sample size and type should be decided based on the study’s objectives, population size, and available resources to conduct the study – without consideration of if it’s quantitative or qualitative research.
Hypothetically, what sampling method would you use to conduct a study of your selected evidence-based practice problem/topic? Why? How would you determine the sample type and size?
After some consideration, purposive sampling would ideally fit my topic best. It would be focused on a population that are specially selected, veterans with PTSD, while trying to understand the phenomenon of supplemental aerobic exercise to behavior therapy in their course of treatment. This fits the criteria from the literature nearly perfect. For purposive sampling specifically, the determining of sample type and size is considered adequate when saturation of information is achieved in the study area (Gray & Grove, 2017). Data saturation occurs when further sampling fails to produce any new information, but rather duplicates previously collected data. When determining the sample size needed to achieve data saturation, it is crucial to consider important factors such as the study’s scope, the topic’s nature, the data’s quality, and the study design (Gray & Grove, 2017).
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