Types of research designs you can use for your dissertation Listed below is the whole range of research designs that you could use for your dissertation. Historical Research Design - The purpose is to collect, verify, synthesize evidence to establish facts that defend or refute your hypothesis.
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 Experimental research designs 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.Listed below is the whole range of research designs that you could use for your dissertation.
Historical Research Design - The purpose is to collect, verify, synthesize evidence to establish facts that defend or refute your hypothesis. It uses primary sources, secondary sources, and lots of qualitative data sources such as logs, diaries, official records, reports, etc.
A quasi-experimental design is one that looks a bit like an experimental design but lacks the key ingredient -- random assignment. My mentor, Don Campbell, often referred to them as "queasy" experiments because they give the experimental purists a queasy feeling.
In the pure experimental design, the independent (predictor) variable is manipulated by the researcher - that is - every participant of the research is chosen randomly from the population, and each participant chosen is assigned randomly to conditions of the independent variable.
What are the different major types of research designs? We can classify designs into a simple threefold classification by asking some key questions. Mar 26, · Effective experimental research design always answers a specific question in a way that controls for differences in treatment populations and for other differences, usually by creating an experimental group and a control group, testing both populations before and after completion of the experiment.
Group Pre-test Treatment Post-test Experimental group = E O X O Control Group = C O O The main weakness of this research design is the internal validity is questioned from the interaction between such variables as selection and maturation or selection and testing.