Case studies emphasize detailed contextual analysis of a limited number of events or conditions and their relationships. Researchers have used the case study research method for many years across a variety of disciplines. Social scientists, in particular, have made wide use of this qualitative research method to examine contemporary real-life situations and provide the basis for the application of ideas and extension of methods. Yin defines the case study research method as an empirical inquiry that investigates a contemporary phenomenon within its real-life context; when the boundaries between phenomenon and context are not clearly evident; and in which multiple sources of evidence are used Yin,p.
My mentor, Don Campbell, often referred to them as "queasy" experiments because they give the experimental purists a queasy feeling. With respect to internal validitythey often appear to be inferior to randomized experiments. But there is something compelling about these designs; taken as a group, they are easily more frequently implemented than their randomized cousins.
I'm not going to try to cover the quasi-experimental designs comprehensively. Instead, I'll present two of the classic quasi-experimental designs in some detail and show how we analyze them. Probably the most commonly used quasi-experimental design and it may be the most commonly used of all designs is the nonequivalent groups design.
In its simplest form it requires a pretest and posttest for a treated and comparison group.
It's identical to the Analysis of Covariance design except that the groups are not created through random assignment. You will see that the lack of random assignment, and the potential nonequivalence between the groups, complicates the statistical analysis of the nonequivalent groups design.
The second design I'll focus on is the regression-discontinuity design. I'm not including it just because I did my dissertation on it and wrote a book about it although those were certainly factors weighing in its favor!
I include it because I believe it is an important and often misunderstood alternative to randomized experiments because its distinguishing characteristic -- assignment to treatment using a cutoff score on a pretreatment variable -- allows us to assign to the program those who need or deserve it most.
At first glance, the regression discontinuity design strikes most people as biased because of regression to the mean. After all, we're assigning low scorers to one group and high scorers to the other. In the discussion of the statistical analysis of the regression discontinuity designI'll show you why this isn't the case.
I had the distinct honor of co-authoring a paper with Donald T. Campbell that first described the Regression Point Displacement Design. At the time of his death in Springwe had gone through about five drafts each over a five year period. The paper click here for the entire paper includes numerous examples of this newest of quasi-experiments, and provides a detailed description of the statistical analysis of the regression point displacement design.
There is one major class of quasi-experimental designs that are not included here -- the interrupted time series designs.
I plan to include them in later rewrites of this material.Case studies is a popular research method in business area. Case studies aim to analyze specific issues within the boundaries of a specific environment. research, case study is defined by interest in individual cases, not by the methods of inquiry used”.
Other researchers, such as Robert Yin (), place more. What this handout is about. This handout provides definitions and examples of the two main types of abstracts: descriptive and informative. It also provides guidelines for constructing an abstract and general tips for you to keep in mind when drafting.
The paper was finished earlier than assigned. Writers used very specific details from the given sources with a variety of vocabulary. They used different types of sentences and transition words that make the essay flow smoothly and more interesting.
Statistics Solutions is a dissertation editing service with expertise in every aspect of the dissertation from both a quantitative and qualitative approach. Although case study methods remain a controversial approach to data collection, they are Since case study method receives criticism in terms of its lack of robustness as a research tool, crafting the design of case studies is of paramount importance.
Researchers can adopt either a.