A professor is interested in examining how the structure of exams influences student success. She has her Tuesday Research Methods I class take 6 small exams over the course of the semester, her Wednesday class takes one large exam at the end of the semester, and her Thursday class takes 2 exams and then compares their final grades. She concludes that 6 small exams are better than 2 large exams. How could the confound be fixed in this Scenario? Be sure to tell me what technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well as how you would apply that technique to this specific scenario, and how that would fix this confound
A professor is interested in examining how the structure of exams influences student success. She has her Tuesday Research Methods I class take 6 small exams over the course of the semester, her Wednesday class takes one large exam at the end of the semester, and her Thursday class takes 2 exams and then compares their final grades. She concludes that 6 small exams are better than 2 large exams. How could the confound be fixed in this Scenario? Be sure to tell me what technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well as how you would apply that technique to this specific scenario, and how that would fix this confound
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
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A professor is interested in examining how the structure of exams influences student success. She has her Tuesday Research Methods I class take 6 small exams over the course of the semester, her Wednesday class takes one large exam at the end of the semester, and her Thursday class takes 2 exams and then compares their final grades. She concludes that 6 small exams are better than 2 large exams.
How could the confound be fixed in this Scenario? Be sure to tell me what technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well as how you would apply that technique to this specific scenario, and how that would fix this confound
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