Many students are more inductive than deductive reasoners, which means that they learn better from examples than from logical development starting with basic principles. The use of case studies can therefore be a very effective classroom technique. Case studies are have long been used in business schools, law schools, medical schools and the social sciences, but they can be used in any discipline when instructors want students to explore how what they have learned applies to real world situations. Whether to use a simple scenario-type case or a complex detailed one depends on your course objectives. Most case assignments require students to answer an open-ended question or develop a solution to an open-ended problem with multiple potential solutions. Requirements can range from a one-paragraph answer to a fully developed group action plan, proposal or decision.
12 Case Study Method Advantages and Disadvantages
How to Do a Case Study | Examples and Methods
When selling directly to other businesses B2B , examples of previous successful projects are an increasingly important part of building trust and confidence that you can deliver the best solution for that business's needs. Case studies represent a focused channel for your business to explain the types of work you're suited to and the businesses that can benefit from your services. By showcasing a real-life example of your team providing a solution to a problem you can highlight your experience and authority as a potential partner for similar businesses. It's for these reasons that case studies represent the perfect opportunity for you to promote your business in a value-added context for B2B buyers. In this article we'll outline the key components of a business-winning case study and the format you can follow to begin creating your own today. A case study is defined as being an up-close and detailed examination of something your business did.
Case Studies: Strengths and Weaknesses
There should be no doubt that with case studies what you gain in depth you lose in breadth — this is the unavoidable compromise that needs to be understood from the beginning of the research process. Reference: Hodkinson, P. Hodkinson
Matching on a factor linked to other factors may automatically control for the confounding role of those factors e. Matching allows to use a smaller sample size, by preparing the stratified analysis "a priori" before the study, at the time of cases and control selection , with smaller sample sizes as compared to an unmatched sample with stratified analysis made "a posteriori". Matching avoids this situation. The greatest disadvantage of matching is that the effect of matching factor on the occurrence of the disease of interest cannot be studied anymore. One should therefore limit matching to factors that are already known to be risk factors for the studied outcome.