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Briefly outline the case study method in psychology

Case studies are in-depth studies of a phenomenon, like a person, group, or situation. The phenomenon is studied in detail, cases are analyzed and solutions or interpretations are presented.

It can provide a deeper understanding of a complex topic or assist a person in gaining experience about a certain historical situation. Although case studies are used across a wide variety of disciplines, they are more frequently found in the social sciences.

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Case studies are a type of qualitative research. This method does not involve statistical hypothesis testing. The method has been criticized as being unreliable, too general, and open to bias. To avoid some of these problems, studies should be carefully planned and implemented. The University of Texas suggest the following six steps for case studies to ensure the best possible outcome: Determine the research question and carefully define it.

Case Studies: Case Study Definition and Steps

Well designed studies consider all available options for cases and for ways to analyze those cases. Multiple sources and data analysis methods are recommended.

Prepare to collect the data.

Consider how you will deal with large sets of data in order to avoid becoming overwhelmed once the study is underway. You should formulate good questions and anticipate how you will interpret briefly outline the case study method in psychology.

Multiple collection methods will strengthen the study. Collect the data in the field or, less frequently, in the lab. Collect and organize the data, keep good field notes and maintain an organized database. These data sets do little to prepare students for applying statistical concepts to their ultimate careers in industry or the social sciences.

What are Case Studies?

You can find many examples of several real-life statistics case studies on the UCLA briefly outline the case study method in psychology. With Chegg Studyyou can get step-by-step solutions to your questions from an expert in the field. If you'd rather get 1: If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.