Katie Morbey
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Psychology Quiz on Week 7, created by Katie Morbey on 19/05/2019.

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Katie Morbey
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Week 7

Question 1 of 9

1

I’m doing a three-way ANOVA with a 3x3x2 design. What does this tell you?

Select one of the following:

  • That this experiment has 2 IVs. Two of them have 3 levels.

  • That this experiment has 3 IVs. Two of them have 3 levels and one has two.

  • That this experiment has 3 IVs. Three of them have 3 levels.

  • That this experiment has 3 levels. Two of them have 3 IVs and one has two.

Explanation

Question 2 of 9

1

What information do we get from a factorial ANOVA?

Select one of the following:

  • We can see the main effects of each IV and how they interact.

  • We can see the main effects of each DV.

  • We can see the main effects of each DV and how they interact.

  • We can see the main effects of each IV.

Explanation

Question 3 of 9

1

Within the variability explained by SSM, how can we further split the variance in an independent measures factorial ANOVA?

Select one of the following:

  • The variance explained by SSM is made up of the SS for each variable plus the SS for the interactions.

  • You cannot further split the variance explained by SSM.

  • The variance explained by SSM is made up of the MS for each variable plus the MS for the interactions.

  • The variance explained by SSM is made up of only the SS for each variable.

Explanation

Question 4 of 9

1

I have two factorial IVs: age and gender. How do we look at the main effect of age?

Select one of the following:

  • We average across all levels of gender and only look only at the differences in gender groups

  • We average across all levels of age and only look only at the different levels of gender groups

  • We average across all levels of gender and only look only at the differences in age groups

  • We average across all levels of age and only look only at the differences in age group

Explanation

Question 5 of 9

1

Following from the previous question. I have calculated SSage and SSgender. How do I calculate SSage*gender. What does this tell me?

Select one of the following:

  • After calculating SSage and SSgender then the remaining variance accounted for by SSM is the variance from SSAge*gender. This is the main effect of the two variables.

  • After calculating SSage and SSgender then the remaining variance accounted for by SSM is the variance from SSage*gender This is the interaction between the two variables.

  • After calculating SSage and SSgender then the remaining variance accounted for by SST is the variance from SSage*gender. This is the interaction between the two variables

  • You do not get SSage*gender in independent samples factorial ANOVA.

Explanation

Question 6 of 9

1

What is an interaction?

Select one of the following:

  • When the effect of one IV on the DV is dependent on another IV.

  • When both IVs have a main effect.

  • When both DVs have a main effect.

  • When the effect of one DV on the IV is dependent on another DV.

Explanation

Question 7 of 9

1

As my study is a factorial between subjects design, the relevant assumption I should be concerned about is _____________. If this assumption is met, I would expect to see that _____________

Select one of the following:

  • Sphericity; the Mauchly's test should not be significant

  • Homogeneity of variance; the Levene's test should be significant.

  • Homogeneity of variance; the Levene's test should not be significant

  • Sphericity; the Mauchly's test should be significant.

Explanation

Question 8 of 9

1

After completing our factorial ANOVA – why do we need to test the simple effects?

Select one of the following:

  • To understand the effects of the individual variables

  • Because we want to examine the differences between the IVs.

  • You don't need to do this as it shows the same as the main effects.

  • Because this is the best way to explain an interaction, if an interaction exist.

Explanation

Question 9 of 9

1

Why can't we only interpret the F value from the SSM (i.e.“Corrected Model”) line of the output?

Select one of the following:

  • Trick question - we only interpret the SSM line of output in factorial ANOVA.

  • Because we need to know how much variance is explained by the SSR output, which is part of the variance explained by SSM.

  • Because we don't just need to know how much variance is explained by the model but whether each individual variable is a explaining a significant amount of variance.

  • Because we don't just need to know how much variance is explained by the model but whether each individual variable and their interactions is a explaining a significant amount of variance.

Explanation