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CaseStudyApproachExample.pdf

Case Study Approach Example As an example, let's say the research objective is to determine if people feel safe from a nuclear power plant meltdown. Archival research done during the literature review would give an answer. But, things have changed. New fears and concerns, both rational and otherwise, are now bubbling in the media and people's minds. This would be an indicator that new data would be needed. So a case study could be defined with a few apparent boundaries: the scenario would be a nuclear power plant accident, the data set would be people living 50 miles from a nuclear power plant, etc. The archival research would be done to establish the baseline. Survey data would be gathered to establish the current data on the fears of the population. Quantitative statistics would be developed that, for the purpose of the example, indicate a shift in perception.

The case study, however, would still be incomplete. Interview research would then be conducted to gather more rich and comprehensive data. Qualitative analysis tools would be used to find themes, patterns, and primary facts and evidence. The perspective could be ethnographic - is a minority population primarily impacted? - or phenomenological - Do the survey participants have an existential fear of radiation? - or narrative - 'My great-grandparents homesteaded in this house...'.

Once complete and written up, this type of case study would have great potential for providing new knowledge to the human condition that is on par with any of the other types of research.

CaseStudyApproaches.pdf

Case Study Approaches The type of research employed in case studies - or any research, for that matter - basically can be categorized into a few groups. The most basic grouping is 'quantitative' or 'qualitative' - or a combination of the two, 'mixed methods'. Quantitative research is typically either conducted by surveys or experiments. Qualitative in particular has further distinctions - 'ethnography', 'phenomenological', and 'narrative' are examples. Research Design by John Creswell is a good primer on the various research categories and styles.

Given the limited time and scope of the course, the research you will most likely conduct will be qualitative archival research, which can be examined for facts, evidence, relationships, and themes. However, it's important to note that case studies can be designed in a myriad of different ways, depending on the goal of the research and the data available or gather-able. It is entirely feasible to put case study boundaries around a quantitative project, and use a survey as a data-gathering tool, develop statistics from the results, and write up a quantitative case study. It's rare to limit a case study in this way, but possible.

The most common case study design would likely flow this way: the literature review would define the body of knowledge that already exists. This would indicate where and how the proposed project could establish new knowledge. The research design would then look at potential data - existing or not yet available. Based on the potential data, the methodology would be designed.

48034951.acsm

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5698WhatisTriangulationQualitativeresearch_-YouTube.pdf

What is Triangulation (Qualitative research) ?

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131K views 10 years ago Triangulation is a method used by qualitative researchers to check and establish validity in their studies by analysing a research question from multiple perspectives is to arrive at consistency across data sources or approaches, in fact, such inconsistencies should not be seen as weakening the eviden … Triangulation is a method used by qualitative researchers to check and establish validity in their studies by analysing a research question from multiple perspectives is to arrive at consistency across data sources or approaches, in fact, such inconsistencies should not be seen as weakening the eviden …

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Week5Review.pdf

A quality analysis is what will make or break your study. Reviewers will criticize your analysis method than anything else, as this is where the true transition occurs from raw data to the results of the research. Case studies allow us to be close to the research, but the analysis must ensure its bias free. This extra work will ensure you produce top quality research that you can be proud of today and in the future.

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