Question 7Select the research example for which a one-way between-groups ANOVA would be the appropriate test.1 pointResearchers want to test for a difference in memory scores before and after a new memory technique is introduced.Researchers want to examine the relationship between the number of class absences and final course grade.Researchers compared the mean difficulty rating of math problems among groups of participants who experienced a positive stressor, a negative stressor, or no stressor, respectively.College administrators are interested in whether high school GPA predicts college GPA.
Question
Question 7Select the research example for which a one-way between-groups ANOVA would be the appropriate test.1 pointResearchers want to test for a difference in memory scores before and after a new memory technique is introduced.Researchers want to examine the relationship between the number of class absences and final course grade.Researchers compared the mean difficulty rating of math problems among groups of participants who experienced a positive stressor, a negative stressor, or no stressor, respectively.College administrators are interested in whether high school GPA predicts college GPA.
Solution
The research example for which a one-way between-groups ANOVA would be the appropriate test is: "Researchers compared the mean difficulty rating of math problems among groups of participants who experienced a positive stressor, a negative stressor, or no stressor, respectively."
Here's why:
A one-way between-groups ANOVA is used when you want to test for differences between more than two groups. In this case, the groups are those who experienced a positive stressor, a negative stressor, or no stressor. The dependent variable (what you're measuring the effect on) is the mean difficulty rating of math problems. This fits the criteria for a one-way between-groups ANOVA.
The other examples do not fit because they either involve only two groups (which would require a t-test, not an ANOVA), or they are looking at a relationship between two continuous variables (which would require a correlation or regression analysis, not an ANOVA).
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ANOVA testing is used for ...
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