End of Sem Menti Quiz

Question 1

The factors that you manipulate across conditions in an experiment are referred to as…

Answer 1

Fixed factors

Question 2

In a mixed ANOVA, participant individual differences (within groups) would serve as the error term when testing…

Answer 2

The main effect of the between-participants factor

Question 3

What are the assumptions of between-participants ANOVA?

Answer 3

Normality, homogeneity of variance, independence of observations

Question 4

What are the assumptions of within-participants ANOVA?

Answer 4

Normality, homogeneity of variance, sphericity, independence of observations

Question 5

Within-participants designs are susceptible to habituation, which is where:

Answer 5

Participants display lower reactivity in later conditions

Question 6

Within-participants designs are susceptible to sensitisation, which is where:

Answer 6

Participants display greater sensitivity in later conditions

Question 6

Within-participants designs are susceptible to learning effects, which is where:

Answer 6

Performance improve in later conditions

Question 7

Within-participants designs are susceptible to contrast effects, which is where:

Answer 7

Previous conditions set a standard for responses in later conditions

Question 8

Why does error variance tend to be smaller in a fully within-participants ANOVA?

Answer 8

Individual differences are partitioned out of the error term

Question 9

When testing for mediation, what type of regression analysis do we sue to test path B, path C and path c’?

Answer 9

Hierarchical multiple regression

Question 9

Does significant mediation tell you about causality?

Answer 9

No

Question 10

We classify a significant medation as ‘full mediation’ if:

Answer 10

Path C’ is no longer significant after controlling for the mediator

Question 11

In a mediation model, the relationship between the key predictor and mediator is typically denoted as:

Answer 11

Path A

Question 12

You would follow up a significant interaction in moderated multiple regression by running a ______ analysis.

Answer 12

Simple slopes

Question 12

Why are predictors mean-centred in moderated multiple regression?

Answer 12

To reduce multicollinearity with their interaction term

Question 13

How do we calculate the interaction term in a moderated multiple regression?

Answer 13

Multiple participants mean-centred scores on the two predictors

Question 14

Which specific analysis is used to test whether the relationship between X and Y varies across low and high levels of a third variable?

Answer 14

Moderated multiple regression

Question 15

In a hierarchical multiple regression, if R=.50 at step 1 and R=.60 at step 2, R^2change at step 1 would be:

Answer 15

.25

Question 16

In a multiple regression predicting Y, a beta of B=.20 for one predictor indicated that:

Answer 16

A 1 SD increase in that predictor predicts a .20 SD increase in Y

Question 16

Multicollinearity arises when:

Answer 16

Predictors overlap too much in their prediction of the criterion

Question 17

The proportion of total variance in Y that can be uniquely explained by any given predictor in a regression model is calculated by squaring its:

Answer 17

semi-partial correlation

Question 18

Which sums of squares reflects variability in the criterion that cannot be predicted by a regression line? =

Answer 18

Ssresidual

Question 19

In a regression equation Y=bX + a what does the b represent?

Answer 19

The slope of the regression line

Question 20

If r=.40, the coefficient of determination would be:

Answer 20

.16 (r^2)

Question 21

True or False: Covariance and correlation are both measures of the magnitude of an association between variables.

Answer 21

True

Question 22

True or False: Covariance and correlation both indicate the direction for a relationship. True

Answer 22

True

Question 23

True or False: Covariance and correlation are both scale-dependant.

Answer 23

False

Question 24

What type of tests need to be conducted to follow up a significant simple simple effect for a factors with only 2 levels?

Answer 24

No follow-up tests necessary (if more than 2 levels, then run simple simple comparisons)

Question 25

What type of tests need to be conducted to follow up a significant simple two-way interaction?

Answer 25

Simple simple effects

Question 26

When running a manipulation check, the manipulation check scale would be analysed as:

Answer 26

Another DV

Question 27

Which effect size statistic for an F-test could be described as an estimate of the effect size in the population (rather than the sample)?

Answer 27

Omega squared

Question 28

In a two-way ANOVA, the variablility explained by the simple effects of factor A is equivalent to the variability explained by the:

Answer 28

Main effect of factor A + interaction

Question 28

In a two-way ANOVA, which type of means are compared when conducting simple comparisons?

Answer 28

Cell means

Question 29

What types of tests need to be conducted to follow up a significant main effect of a factor with more than two levels?

Answer 29

Main effect comparisons

Question 30

If you find a significant main effect for a factor with 3 levels, what could you conclude?

Answer 30

There is a difference somewhere within the 3 means

Question 30

In between-participants ANOVA, ___________ is a measure of how much individual participants scores tend to deviate around their group mean.

Answer 30

Within-groups variance

Question 31

The greater the _________, the more likely we are to get a significant F-test.

Answer 31

Between groups variance

Question 32

If the effect of one factor does not change at each level of another factor, you would have:

Answer 32

No interaction

Question 32

If there is a significant main effect of factor A but no AxB interaction, that would mean the the simple effects of factor A:

Answer 32

Are the same across the levels of factor B

Question 33

When determining whether there is a main effect in a two way ANOVA, which means would you compare?

Answer 33

Marginal means

Question 34

In a two-way ANOVA, the effect of factor A at only one level of Factor B would be referred to specifically as:

Answer 34

A simple effect

Question 35

If I were to describe a study as having a 4x2x3 design, how many factors would the study involve?

Answer 35

3