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Quantitative case study research design and methods

Published on June 12, by Pritha Bhandari. Revised on February 15, Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations. Quantitative research is the opposite of qualitative research , which involves collecting and analyzing non-numerical data e.
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The first step is choosing the right tool. Check out this list of the most popular types of quantitative methods. By Kate Moran. Many UX professionals gravitate towards qualitative qual methodologies, which are widely perceived as being easier and cheaper than quantitative quant research.
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Research design refers to the overall strategy utilized to carry out research [1] that defines a succinct and logical plan to tackle established research question s through the collection, interpretation, analysis, and discussion of data. The methodologies and methods incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge see epistemology and reality see ontology , often shaped by the disciplinary areas the researcher belongs to. The design of a study defines the study type descriptive, correlational, semi-experimental, experimental, review, meta-analytic and sub-type e.
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A case study involves an up-close, in-depth, and detailed examination of a particular case or cases, within a real-world context. Generally, a case study can highlight nearly any individual, group, organization, event, belief system, or action. Case study research has been extensively practiced in both the social and natural sciences. As with other social science methods, no single research design dominates case study research.
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