Exam 3

Question 1

Factorial ANOVA:

One way: Factor A (effects?)

Answer 1

1 effect:

A

Question 2

Factorial ANOVA:

Two Way: Factors A & B (effects?)

Answer 2

3 effects:

A, B, AxB

Question 3

Factorial ANOVA:

Three Way: Factors A ,B, & C (effects?)

Answer 3

7 effects:

A, B, C, AxB, AxC, BxC, AxBxC

Question 4

2x2 ANOVA: Main effect of A?

Answer 4

Is there a difference between means of A1, and A2?

Question 5

2x2 Anova: Main effect of B?

Answer 5

Is there a difference between means of B1, and B2?

Question 6

2x2 ANOVA: Interaction effect?

Answer 6

Is there a difference in the difference between A1 and A2 depending on the level of B?

Question 7

2x2 ANOVA: Main effect of A H0 and H1?

Answer 7

H0: uA1=uA2
H1: uA1/=uA2

Question 8

2x2 ANOVA: Main effect of B:

H0 and H1?

Answer 8

H0: uB1=uB2
H1: uB1/=uB2

Question 9

2x2 ANOVA: Interaction effect H0 and H1?

Answer 9

H0:uA1B1-uA2B1=uA1B2-uA2B2
H1:uA1B1-uA2B1/=uA1B2-uA2B2

Question 10

SS A tells me?

Answer 10

How much variation is there between levels of factor A

Question 11

SS within tells me?

Answer 11

How much does each person differ in their own condition

Question 12

Unsystematic Variance

Answer 12

Individual differences + error

Question 13

RMANOVA

Answer 13

Researcher measures more than 2 responses per participant

Question 14

Benefit of RMANOVA

Answer 14

Helps weed out individual differences which lead to smaller within level variance

Question 15

Goal of RMANOVA

Answer 15

analyze the repeated measurements as changes or differences

Question 16

Why do we use an ANCOVA?

Answer 16

To remove a variables influence that we are not interested in

Question 17

When is an ANCOVA good to use?

Answer 17

When we are unable to match participants on a variable, but we have the data available. often we realize the confound after the fact

Question 18

ANCOVA Assumptions (#1)

Answer 18

homogeneity of regression (covariate is equal across groups)

Question 19

ANCOVA Assumptions (2-4)

Answer 19

Normal distribution of variables, variances homogeneous, relationship between DV and covariate is linear

Question 20

First thing to do in ANCOVA

Answer 20

Test effect of covariate, treatment, and subtract them to get its interaction effect, if not significant proceed, if sig you must treat them as separate groups

Question 21

MANOVA

Answer 21

2+ DVs are analyzed at the same time, in combination

Question 22

Example of a MANOVA

Answer 22

Age x Education, measuring DV’s of vocab, speed, math, spatial, memory, attention

Question 23

Loglinear Analysis

Answer 23

used to measure dichotomously-scored variables

Ex: scented/unscented

Question 24

Write up for a 2x2/RMANOVA has what components?

all?

Answer 24

1: What was the study, your measurement?
2: Stats? Factors? Levels of those?
Hypothesis, supported?
3: Significant? F’s df’s pwr, Not sig? list f’s df’s pwr
4: Explain results
5: Means, SD’s and R2