When responding to your classmates, provide a scholarly perspective on repeated measures designs and discuss other research designs that could have been used to answer the research question. ( write one paragraph as if you were me)

A repeated measures ANOVA design is ideal for examining how the same individuals change over time or across different conditions. For example, if researchers want to determine whether various study methodssuch as traditional classroom learning versus online modulesimpact student test scores, a repeated measures design allows each student to experience both methods. In this setup, the independent variable (IV) is the Study Method, with two levels: Traditional and Experimental. The dependent variable (DV) is the Test Score, which is measured after students use each method. Unlike a between-subjects design, which would require separate groups for each study method and consequently more participants and increased variability, the repeated measures approach lets each participant serve as their own baseline, thereby controlling for individual differences. Research Example: Effects of Study Method on Test Performance The research question in this scenario is: Does the type of study method (traditional vs. online interactive) significantly influence students' test scores? The independent variable is the Study Method, which includes two levels: Traditional (involving reading textbooks and taking notes) and Experimental (featuring interactive online modules and group discussions). The dependent variable is the students' scores on a standardized test covering the course material. The procedure involves all participants first using the Traditional method to study one unit, after which they take a test. Then, they switch to the Experimental method for another unit and complete a similar test. This approach ensures that every student experiences both study methods. The data is analyzed using a repeated measures ANOVA, which compares the same students' test scores