enee (a 24-year-old master’s degree student) was studying attitudes toward women using a questionnaire about affirmative action for women. She hypothesized that male participants would express more support for affirmative action for women when they expressed their attitudes toward a female experimenter, compared to a male experimenter. Renee randomly assigned a group of male college students to have their questionnaire administered by her or by her male advisor, a 50-year-old professor of psychology. She conducted the study in two identical classrooms at the same time of day. Renee found that the men tested in her own room reported more support for affirmative action for women, compared to the men tested by her advisor. She concluded that the gender of the examiner can make men express more liberal gender attitudes.Identify the independent variable (IV) and dependent variable (DV).Identify the design (posttest-only? one-group, pretest/posttest? within-groups?).Sketch a graph of the results. (Reminder: Put the dependent variable on the y-axis.)Decide whether the study is subject to any of the internal validity threats listed in Table 11.1.Indicate whether you could redesign the study to correct or prevent any of the internal validity threats.
Question
enee (a 24-year-old master’s degree student) was studying attitudes toward women using a questionnaire about affirmative action for women. She hypothesized that male participants would express more support for affirmative action for women when they expressed their attitudes toward a female experimenter, compared to a male experimenter. Renee randomly assigned a group of male college students to have their questionnaire administered by her or by her male advisor, a 50-year-old professor of psychology. She conducted the study in two identical classrooms at the same time of day. Renee found that the men tested in her own room reported more support for affirmative action for women, compared to the men tested by her advisor. She concluded that the gender of the examiner can make men express more liberal gender attitudes.Identify the independent variable (IV) and dependent variable (DV).Identify the design (posttest-only? one-group, pretest/posttest? within-groups?).Sketch a graph of the results. (Reminder: Put the dependent variable on the y-axis.)Decide whether the study is subject to any of the internal validity threats listed in Table 11.1.Indicate whether you could redesign the study to correct or prevent any of the internal validity threats.
Solution
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Independent Variable (IV) and Dependent Variable (DV): The independent variable (IV) is the gender of the experimenter (either Renee or her male advisor). The dependent variable (DV) is the level of support for affirmative action for women expressed by the male participants.
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Design of the Study: The design of the study is a posttest-only, between-groups design. This is because participants are randomly assigned to one of two groups (female experimenter or male experimenter) and their attitudes are measured after the intervention (interaction with the experimenter).
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Sketch a Graph of the Results: Unfortunately, as a text-based AI, I'm unable to sketch a graph. However, I can describe how it might look. The x-axis would represent the gender of the experimenter (Renee or her male advisor) and the y-axis would represent the level of support for affirmative action for women. The graph would likely show higher values on the y-axis for the group that interacted with Renee, indicating more support for affirmative action for women.
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Internal Validity Threats: One potential threat to internal validity could be the experimenter effect. The participants might have responded differently to Renee not just because of her gender, but also because of her age, status as a student, or personal characteristics.
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Redesigning the Study: To control for the experimenter effect, the study could be redesigned to include more experimenters of each gender, of varying ages and statuses. This would help to ensure that any differences in responses are truly due to the gender of the experimenter, rather than other characteristics. Additionally, a double-blind procedure could be implemented, where neither the participants nor the experimenters know the hypothesis of the study, to prevent any bias in responses or in the administration of the questionnaire.
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