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 ...
This lesson explores the basic definition of why there is the label of quasi-experimental design in addition to what types of designs are quasi-experimental.
Quasi-experimental research designs, like experimental designs, test causal hypotheses. A quasi-experimental design by definition lacks random assignment. Quasi-experimental designs identify a comparison group that is as similar as possible to the treatment group in terms of baseline (pre-intervention) characteristics.
Design. Quasi-experimental design involves selecting groups, upon which a variable is tested, without any random pre-selection processes.. For example, to perform an educational experiment, a class might be arbitrarily divided by alphabetical selection or by seating arrangement.
A quasi-experiment is an empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment.Quasi-experimental research shares similarities with the traditional experimental design or randomized controlled trial, but it specifically lacks the element of random assignment to treatment or control.
Some quasi-experimental research designs do not include a comparison with a control group at all. Known as before-and-after, pre-test/post-test, or pre-experimental designs, these quasi-experimental approach designs expose all subjects to the treatment or stimulus.
Quasi-experimental research designs are the most widely used research approach employed to evaluate the outcomes of social work programs and policies.
Explain what quasi-experimental research is and distinguish it clearly from both experimental and correlational research. Describe three different types of quasi-experimental research designs (nonequivalent groups, pretest-posttest, and interrupted time series) and identify examples of each one.
Quasi-experimental study designs, often described as nonrandomized, pre-post intervention studies, are common in the medical informatics literature. Yet little has been written about the benefits and limitations of the quasi-experimental approach as applied to informatics studies.
Countless quasi-experimental topics focus on a person's environment or social setting. For example, a sociologist may research two boys of the same age who live in the same poor neighborhood, attend the same schools and have access to the same opportunities.