1. Which of the following is consistent with the alternative hypothesis for the interaction of factors A and B in a two-factor analysis of variance? a. The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B. b. µA = µB c. µA ≠ µB d. The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B. 2. A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MSwithin treatments from the original two-factor analysis is MSwithin treatments = 1.00. using the matrix below to test this simple main effect, which is the appropriate decision using an alpha level of α = .05? Participant Sex Males Females __________________________________________________________________ n = 6 n = 6 N = 12 M = 4 M = 5 G = 54 T = 24 T = 30 a. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are not married. b. Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are married. c. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are not married. d. Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are married.
1. Which of the following is consistent with the alternative hypothesis for the interaction of factors A and B in a two-factor analysis of variance?
| a. |
The mean differences between treatment conditions are what would be predicted from the overall main effects of Factors A and B.
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| b. |
µA = µB
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| c. |
µA ≠ µB
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| d. |
The mean differences between treatment conditions are not what would be predicted from the overall main effects of Factors A and B.
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2. A researcher uncovers that there is a significant interaction between the factor of marital status (i.e., married or non-married) and participant sex (i.e., male or female) regarding well-being among a sample with n = 6 participants in each condition. A researcher decides to compare the difference in well-being between married men and women. The MSwithin treatments from the original two-factor analysis is MSwithin treatments = 1.00. using the matrix below to test this simple main effect, which is the appropriate decision using an alpha level of α = .05?
Participant Sex
Males Females
__________________________________________________________________
n = 6 n = 6 N = 12
M = 4 M = 5 G = 54
T = 24 T = 30
| a. |
Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are not married.
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| b. |
Fail to reject the null hypothesis and conclude there is not a significant difference in well-being between males and females who are married.
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| c. |
Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are not married.
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| d. |
Reject the null hypothesis and conclude there is a significant difference in well-being between males and females who are married.
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