Deck 24: Anova for Repeated Measures Designs

Question 1

1) In a repeated measures experiment 120 participants were asked to recall words which had earlier been presented in a way that encouraged sensory, phonetic or symbolic processing. Participants also completed a condition in which no particular kind of processing was encouraged. In a one-way ANOVA analysis the error df is:

A) 86
B) 85
C) 116
D) 87

Answer 1

D

Question 2

2) In a repeated measure ANOVA the data must satisfy the condition of:

A) Compound symmetry
B) Heterogeneity of variance
C) Sphericity
D) Tolerance

Answer 2

C

Question 3

3) If data in a repeated measure design cannot satisfy parametric assumptions an alternative test is:

A) Kruskal-Wallis
B) Friedman's $\chi$ ²
C) Mann-Whitney
D) Wilcoxon matched pairs

Answer 3

Friedman's $\chi$ ²

Question 4

20 participants take part in an experiment in which they rate their feeling of anxiety while listening to soft music and watching a nature film and then a violent film. They watch the same two films again whilst listening to loud rock music and again to romantic opera.
-4) If the sum of squares for the music factor is 84.2 the MS value will be:

A) 84.2
B) 28.07
C) 42.1
D) 168.4

Question 5

20 participants take part in an experiment in which they rate their feeling of anxiety while listening to soft music and watching a nature film and then a violent film. They watch the same two films again whilst listening to loud rock music and again to romantic opera.
-5) In the analysis described above the interaction df will be:

A) 2
B) 6
C) 3
D) 1

Question 6

Fourteen medical students in their last year of training are asked to make diagnostic decisions under three conditions: alone, with two senior doctors present and in a simulation of a chaotic emergency department. Twelve first year medical students are also asked to complete the same task conditions.
-6) The between groups error df will be:

A) 25
B) 24
C) 26
D) 77

Question 7

Fourteen medical students in their last year of training are asked to make diagnostic decisions under three conditions: alone, with two senior doctors present and in a simulation of a chaotic emergency department. Twelve first year medical students are also asked to complete the same task conditions.
-7) In the analysis described above the within subjects df will be:

A) 51
B) 53
C) 52
D) 50

Question 8

Fourteen medical students in their last year of training are asked to make diagnostic decisions under three conditions: alone, with two senior doctors present and in a simulation of a chaotic emergency department. Twelve first year medical students are also asked to complete the same task conditions.
-8) In the analysis described above the interaction effect will:

A) Be a between groups factor
B) Be a within subjects factor
C) Have its own error term different from that for the within conditions factor
D) Have no error term

Question 9

Fourteen medical students in their last year of training are asked to make diagnostic decisions under three conditions: alone, with two senior doctors present and in a simulation of a chaotic emergency department. Twelve first year medical students are also asked to complete the same task conditions.

- If the error MS within subjects is 47.3 and the interaction MS is 153.25, the interaction is:

A) Significant with p < .05
B) Significant with p < .01
C) Significant with p < .01.
D) Not significant at the $\alpha$ = .05 level

Question 10

Fourteen medical students in their last year of training are asked to make diagnostic decisions under three conditions: alone, with two senior doctors present and in a simulation of a chaotic emergency department. Twelve first year medical students are also asked to complete the same task conditions.
-10) In the research described above, the researcher is particularly interested in the difference in diagnostic decision scores between experienced and first year medical students in the simulation condition. A difference here would be an example of a:

A) Main effect
B) Interaction effect
C) Simple effect
D) Within groups effect