The following data are representative of many studies examining the relationship between arousal and performance. The general result of these studies is that increasing the level of arousal (or motivation) tends to improve the level of performance. (You probably have tried to "psych yourself up" to do well on a task.) For very difficult tasks, however, increasing arousal beyond a certain point tends to lower the level of performance. (Your friends have probably advised you to “calm down and stay focused" when you get overanxious about doing well.) This relationship between arousal and performance is known as the Yerkes-Dodson law. Factor B Arousal Level 20 = 120 5Seosy Low Medium High 1 10 30 10 14 6. T. = 90 ROWI Easy 6. 9. M = 3 M = 5 M = 10 T = 15 T = 25 T = 50 SS = 18 SS = 28 SS = 26 N = 30 Factor A Task Difficulty G = 120 EX = 860 %3D TROW2= 30 1 %3! Difficult 2 M = 1 M = 3 M = 2 T = 5 T = 15 T = 10 SS = 8 SS = 20 SS = 20 %3D 60 COLI COL3 a. Use a two-factor ANOVA with a = .05 to evaluate the significance of the main effects and the interaction (conduct all 4 steps!). 111O 4806 2722 31- 04 O 2 O O3

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How to perform two factor anova? Solution and explanation please
3. The following data are representative of many studies examining the relationship
between arousal and performance. The general result of these studies is that increasing
the level of arousal (or motivation) tends to improve the level of performance. (You
probably have tried to "psych yourself up" to do well on a task.) For very difficult tasks,
however, increasing arousal beyond a certain point tends to lower the level of
performance. (Your friends have probably advised you to "calm down and stay focused"
when you get overanxious about doing well.) This relationship between arousal and
performance is known as the Yerkes-Dodson law.
Factor B Arousal Level
120= 120 5Seosy
Medium
Low
High
10
30
1
4
10
8
14
6.
6.
7.
T.
90
ROWI
6.
9
Easy
M = 3
M = 5
M = 10
T = 15
T = 25
SS = 28
T = 50
SS = 18
SS = 26
N = 30
Factor
G = 120
A Task
Difficulty
2
1
7.
1
EX² = 860
6.
TROW2 = 30
Difficult
1
M =
1
M = 3
M = 2
T = 5
T = 15
T = 10
SS = 20
TCOLI = 20 T.o2 = 40 To1a= 60
SS = 8
SS = 20
COL2
Use a two-factor ANOVA with a = .05 to evaluate the significance of the main
effects and the interaction (conduct all 4 steps!).
b. Calculate the n2 values to measure the effect size for any statistically significant
a.
results.
c. Describe the interaction effect. Specifically, how does the level of arousal
(motivation) interact with level of task difficulty to affect performance? (Hint:
creating a line graph [pp. 453-454 in textbook] may help to identify the pattern of
the interaction effect - comparing within-cell means is another route.)
Transcribed Image Text:3. The following data are representative of many studies examining the relationship between arousal and performance. The general result of these studies is that increasing the level of arousal (or motivation) tends to improve the level of performance. (You probably have tried to "psych yourself up" to do well on a task.) For very difficult tasks, however, increasing arousal beyond a certain point tends to lower the level of performance. (Your friends have probably advised you to "calm down and stay focused" when you get overanxious about doing well.) This relationship between arousal and performance is known as the Yerkes-Dodson law. Factor B Arousal Level 120= 120 5Seosy Medium Low High 10 30 1 4 10 8 14 6. 6. 7. T. 90 ROWI 6. 9 Easy M = 3 M = 5 M = 10 T = 15 T = 25 SS = 28 T = 50 SS = 18 SS = 26 N = 30 Factor G = 120 A Task Difficulty 2 1 7. 1 EX² = 860 6. TROW2 = 30 Difficult 1 M = 1 M = 3 M = 2 T = 5 T = 15 T = 10 SS = 20 TCOLI = 20 T.o2 = 40 To1a= 60 SS = 8 SS = 20 COL2 Use a two-factor ANOVA with a = .05 to evaluate the significance of the main effects and the interaction (conduct all 4 steps!). b. Calculate the n2 values to measure the effect size for any statistically significant a. results. c. Describe the interaction effect. Specifically, how does the level of arousal (motivation) interact with level of task difficulty to affect performance? (Hint: creating a line graph [pp. 453-454 in textbook] may help to identify the pattern of the interaction effect - comparing within-cell means is another route.)
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