1/2/2024 0 Comments Control groupControl groups in quasi-experimental design Researchers generally rely on non-experimental control groups in two cases: quasi-experimental or matching design. The difference between the treatment group and control group 2 shows whether the new pill improves on treatments already available on the market.Ĭontrol groups in non-experimental researchĪlthough control groups are more common in experimental research, they can be used in other types of research too.The difference between the treatment group and control group 1 demonstrates the effectiveness of the pill as compared to no treatment.Since the only variable that differs between the three groups is the type of pill, any differences in average blood pressure between the three groups can be credited to the type of pill they received. Control group 2 gets a pill already approved to treat high blood pressure.Control group 1 gets an identical-looking sugar pill (a placebo). ![]() To test its effectiveness, you run an experiment with a treatment and two control groups. Example of multiple control groupsYou have developed a new pill to treat high blood pressure. Researchers might want to examine the impact of multiple treatments at once, or compare a new treatment to several alternatives currently available. Studies can also include more than one treatment or control group. Students in the control group do not receive any money.īy comparing the average change in their grades over the year, you can find out whether monetary incentives improve school performance.You pay the students in the treatment group for achieving high grades.To test this, you divide several students into control and treatment groups. Example of a control groupYou are interested in whether college students perform better in school if they are paid for their performance. This means researchers can correctly measure the entire effect of the treatment without interference from confounding variables. In a well-designed experiment, all variables apart from the treatment should be kept constant between the two groups. ![]() In public policy studies, it could be a new social policy that some receive and not others. In a medical trial, it might be a new drug or therapy. The treatment is any independent variable manipulated by the experimenters, and its exact form depends on the type of research being performed.
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