Deck 10: Two-Way Factorial Independent Anova

Question 1

Your independent ANOVA experiment has a significant main effect. Your independent variable (IV) has three conditions and your hypothesis is one-tailed. What further analysis do you need to do?

A) Do nothing; you don't need to interpret any further directional effects.
B) You need to use means to interpret which condition has a significantly higher score.
C) You need to conduct further analysis to break down the main effect and, as you have one-tailed hypothesis, you have to do planned contrasts.
D) You need to conduct further analysis to break down the main effect and, as you have one-tailed hypothesis, you have to do post hoc contrasts.

Answer 1

C

Question 2

What is the difference between main effect and interaction effect?

A) A main effect is when you look at differences within both IVs at the same time, whereas an interaction effect occurs if the differences in one IV change depending on the other IV.
B) A main effect occurs if the differences in one IV change depending on the other IV, whereas an interaction effect is when you look at differences across one IV, whilst entirely ignoring the variance explained by the other IV.
C) A main effect is when you look at differences across one IV, whilst entirely ignoring the variance explained by the other IV, whereas an interaction effect occurs if the differences in one IV change depending on the other IV.
D) A main effect is when you look at differences across one DV, whereas an interaction effect occurs when you look at differences across two DVs.

Answer 2

C

Question 3

In your factorial ANOVA, when you discover that your main effect is not significant, what should you do next?

A) Use means to interpret which condition has a significantly higher score.
B) Conduct further analyses to breakdown the main effect.
C) There is no need to include any interpretation beyond conducting planned contrasts or post hoc contrasts which depends on the type of hypothesis stated.
D) There is no need to include any directional interpretation beyond stating that there is no significant effect.

Answer 3

D

Question 4

In your factorial ANOVA, when you discover that the interaction effect is not significant, what should you do next?

A) If your interaction is not significant you should conduct further analyses to understand where the lack of effects is coming from. You can use t test to compare conditions.
B) If your interaction is not significant you should conduct further analyses to understand where the lack of effects is coming from. You cannot use t test to compare conditions as it will increase chances of type two error.
C) If your interaction is not significant you should not conduct any further analyses as there is no interaction effect to break down.
D) If your interaction is not significant you should not conduct any further analyses except planned contrasts.

Question 5

When you use t tests to break down any significant interaction effect you need to correct alpha level that you use to determine the significance. Which correction method do you need to use?

A) Kruskall Wallis
B) Dunn
C) Friedman
D) Bonferroni

Question 6

When you decide to run a two-way factorial ANOVA how many hypotheses will you need to develop?

A) 1
B) 2
C) 4
D) 3

Question 7

Which of the following sentences is correct?

A) If we were to have a two-tailed hypothesis, we would simply predict that the two groups are significantly different from each other, but if you have justification for a one-tailed hypothesis, you would need to state which group you predict would have the significantly higher score.
B) If we were to have a one-tailed hypothesis, we would simply predict that the two groups are significantly different from each other, but if you have justification for a two-tailed hypothesis, you would need to state which group you predict would have the significantly higher score.
C) If we were to have a two-tailed hypothesis, we would simply predict that the two groups are significantly different from each other, but if you have justification for a one-tailed hypothesis, you would need to state the predicted DV score for each condition.
D) If we were to have a two-tailed hypothesis, we would simply predict that the four groups are significantly different from each other, but if you have justification for a one-tailed hypothesis, you would need to use exactly the same method of analysis as used in the previous research.

Question 8

Which of the following statements is correct?

A) If your hypothesis is two-tailed then you must use planned contrasts, whereas if you have a one-tailed hypothesis, you would use post hoc contrasts.
B) If your hypothesis is one-tailed then you must use planned contrasts, whereas if you have a two-tailed hypothesis, you would use post hoc contrasts.
C) If your hypothesis is one-tailed then you must use Bonferroni correction, whereas if you have a two-tailed hypothesis, you would use post hoc contrasts.
D) If your hypothesis is one-tailed then you must use planned contrasts, whereas if you have a two-tailed hypothesis, you would use Bonferroni contrasts.

Question 9

When running your two-way independent measures factorial ANOVA in SPSS you select: Analyse > GLM > Univariate… Which variables would you allocate in the fixed factor(s) box?

A) Only independent variables
B) Both dependent and independent variables
C) Only dependent variables
D) It is a place only for fixed factors, not variables.

Question 10

When interpreting the SPSS output for independent measures factorial ANOVA we need to ensure that the homogeneity of variance assumption has been met, as we want to be confident that the dispersion of scores within each condition is roughly similar. Which test would you use to evaluate this assumption that and what result would you expect if the assumption has been met?

A) Bonferroni test; significant results
B) Bonferroni test; not significant results
C) Levene's test; significant results
D) Levene's test; not significant results

Question 11

In the worksheet exercise, how would you describe the type of analysis used?

A) 2 * 3 repeated measures ANOVA
B) 2 * 4 independent measures ANOVA
C) One-way independent measures ANOVA
D) 2 * 3 independent measures ANOVA

Question 12

In the worksheet exercise, has the assumption of homogeneity of variance been met, and how did you come to this conclusion?

A) The assumption has not been met because Levene's test is not significant.
B) The assumption has not been met because Levene's test is significant.
C) The assumption has not been met because Bonferonni's test is not significant.
D) The assumption has not been met because Bonferonni's test is significant.

Question 13

In the worksheet exercise, what is the F ratio for the main effect of group (low, mid, high)?

A) 10.849
B) 4.134
C) .000
D) .188

Question 14

In the worksheet exercise, what are the correct degrees of freedom to report for the "game type" IV?

A) 1
B) 2, 94
C) 1, 94
D) 1, 100

Question 15

In the worksheet exercise, what is the significance of the interaction?

A) .000
B) .001
C) .081
D) .019