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NRS 433 Benchmark Research Critique Part 2

NRS 433 Benchmark Research Critique Part 2

 

Prepare a critical analysis of a quantitative study focusing on protection of human participants, data collection, data management and analysis, problem statement, and interpretation of findings. The quantitative research article can be from your previous literature review or a new peer-reviewed article.

Each study analysis will be 1,000-1,250 words and submitted in one document. As with the assignments in Topics 1-3, this should connect to your identified practice problem of interest.

Refer to the resource entitled “Research Critique Part 2.” Questions under each heading should be addressed as a narrative, in the structure of a formal paper. You are also required to include an Introduction and Conclusion.

Prepare this assignment according to the APA guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Turnitin.

Submit the assignment along with an electronic version of the article used for the analysis. If an electronic version is not available, submit a clean unmarked copy of the article.

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The emergent nature of qualitative research that results from the interaction between data collection and data analysis requires that investigators not prespecify a sample for data collection in strict terms, lest important data sources be overlooked. In quantitative studies, the ideal sampling standard is random sampling. Most qualitative studies use purposeful (or purposive) sampling, a

NRS 433 Benchmark Research Critique Part 2

NRS 433 Benchmark Research Critique Part 2

conscious selection of a small number of data sources that meet particular criteria. The logic and power of purposeful sampling lie in selecting information rich cases (participants or settings) for indepth study to illuminate the questions of interest.14 This type of sampling usually aims to cover a range of potentially relevant social phenomena and perspectives from an appropriate array of data sources. Selection criteria often evolve over the course of analysis, and investigators return repeatedly to the data to explore new cases or new perspectives.

Sample size is a critical question for all research studies. A study that uses a sample that is too small may have unique and particular findings such that its qualitative transferability or quantitative generalisability becomes questionable. In qualitative research, however, even studies with small samples may help to identify theoretically provocative ideas that merit further exploration. Studies with samples that are too large are equally problematic. Whereas quantitative research has specific guidelines that frame researchers’ decisions about adequate sample size, there are only general principles, reflective of judgment and negotiation, for qualitative researchers. Examination of several areas will help readers to identify the adequacy of sample size in qualitative studies. Firstly, references about the specific method used may offer some guidance. For example, sample sizes in phenomenological studies are typically smaller than those in grounded theory and ethnographic studies. Secondly, the trade off between breadth and depth in the research affects sample size. Studies with smaller samples can more fully explore a broader range of participants’ experiences, whereas studies with larger samples typically focus on a more narrow range of experiences. Thirdly, readers can review published studies that used similar methods and focused on similar phenomena for guidance about sample size adequacy. Qualitative researchers judge the adequacy of a sample for a given study by how comprehensively and completely the research questions were answered. Readers of qualitative studies are encouraged to review the researcher’s documentation of sample size and selection throughout the course of the study.

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