Chapter 7- Analysis of Variance

Question 1

Analysis of Variance (ANOVA) uses

Answer 1

draw inferences about population means when there are more than two means being compared

Question 2

Assumptions for ANOVA

Answer 2

1. Random sampling
2. Normal distribution
3. Equality of group variances

Same as with the t-test

Question 3

What does ANOVA partition?

Answer 3

ANOVA involves the partitioning of variance of the dependent variable into the components that contribute to score variability

Question 4

ANOVA formula

Answer 4

F ratio= MSB/MSW

Question 5

One-way ANOVA use:

Answer 5

Compare means for three or more independent groups

Question 6

Multifactor ANOVA use:

Answer 6

Used when there are two or more independent variables (called factors). Multifactor ANOVA tests for both main effects and interaction effects

Question 7

“Main effects”

Answer 7

The effects of the independent variables on the dependent variable

Question 8

“Interaction Effects”

Answer 8

The effects of the independent variables in combination

Question 9

Repeated measures analysis of Variance (RM-ANOVA) use:

Answer 9

Used for within-subjects designs.

When means are computed for the same people three or more times.

Question 10

Effect size statistic name:

Answer 10

Eta-squared (η^2)

Question 11

Eta-squared (η^2)

Answer 11

indicates the proportion of variability in the dependent variable accounted for by the independent variable

Question 12

Multifactor ANOVA formula

Answer 12

SS total = (SS factor 1) + (SS factor 2) + (SS interaction) + (SS error)

Question 13

What makes up the “corrected model” section in the SPSS output

Answer 13

Corrected Model = The main effects (SS factor 1 + SS factor 2+…) and the interactions (SS of factor interactions)

Question 14

Another name for Multifactor ANOVA

Answer 14

Factorial ANOVA