Based on the concept of causal limitations in quasi-experimental research, explain why the colleague is correct. What specific methodological issue prevents a definitive cause-and-effect conclusion here?
Case context: A researcher is studying the impact of a new educational software tool. Since they cannot reassign students to different classrooms, they manipulate the independent variable by introducing the software to Classroom A (which already has a reputation for high engagement) and keeping Classroom B as the control group. Although the software is introduced before measuring the final exam scores (the dependent variable), a colleague argues that the researcher cannot claim the software caused the higher exam scores in Classroom A.
Question: Based on the concept of causal limitations in quasi-experimental research, explain why the colleague is correct. What specific methodological issue prevents a definitive cause-and-effect conclusion here?
Sample answer: The colleague is correct because this study is quasi-experimental and lacks random assignment. Although the researcher manipulated the independent variable prior to measuring the dependent variable, the pre-existing differences between Classroom A (high engagement) and Classroom B act as confounding variables. Without random assignment or counterbalancing, the researcher cannot determine whether the software or the pre-existing classroom differences caused the higher exam scores.
Key points:
- Lack of random assignment or counterbalancing in the classrooms
- Presence of pre-existing differences (engagement) acting as confounding variables
- Inability to confidently attribute the outcome to the independent variable manipulation
- Inability to rule out confounding variables as the true cause of observed outcomes
Rubric: To receive full credit, the response should: 1. Identify that the study lacks random assignment (or counterbalancing) between the groups. 2. Explain that the pre-existing differences (such as the high engagement reputation) represent confounding variables. 3. Demonstrate understanding that manipulating the independent variable first is insufficient to rule out these confounding variables. 4. Conclude that a definitive cause-and-effect relationship cannot be established because of these uncontrolled pre-existing differences.
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Research Methods in Psychology - 4th American Edition @ KPU
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