Assignment:
1. Researchers Busseri, Choma, and Sadava (2009) asked a sample of individuals who scored as optimists on a measure of life orientation about past, present, and projected future satisfaction with their lives. Higher scores on the life-satisfaction measure indicate higher satisfaction. Do optimists see a rosy future ahead?
|
Person
|
Past
|
Present
|
Future
|
|
1
|
22
|
25
|
24
|
|
2
|
23
|
26
|
27
|
|
3
|
25
|
27
|
26
|
|
4
|
24
|
28
|
28
|
|
5
|
26
|
29
|
29
|
Conduct all 6 steps of hypothesis testing (present results in a source table) as well as post hoc tests and a measure of effect size. If appropriate, conduct Tukey tests. Calculate the R2. To get you started, I've included the following values in the source table
|
Source
|
SS
|
df
|
MS
|
F
|
|
Between
|
|
|
|
|
|
Subjects
|
|
|
|
|
|
Within
|
|
|
|
|
|
Total
|
62.926
|
14
|
|
|
2. For the following, draw a scatter plot and regression line, calculate the regression equations, conduct a six step hypothesis test, and calculate an effect size:
Research suggests that individuals who are emotionally exhausted at work are more likely to quit. A researcher wanted to test whether physical exhaustion had the same affect and gathered the following data. The physical exhaustion measure was gathered using an inventory and scores could fall between 0 (not at all exhausted) and 9 (completely exhausted). The participants also rated their likelihood to turnover on a 9 point scale (0 = not at all likely; 9 = definitely). Determine whether physical exhaustion predicts likelihood to turnover.
|
Participant
|
Physical Exhaustion
|
Turnover Intentions
|
|
1
|
6
|
2
|
|
2
|
6
|
7
|
|
3
|
5
|
3
|
|
4
|
2
|
1
|
|
5
|
1
|
2
|
|
6
|
4
|
7
|
|
7
|
2
|
2
|
|
8
|
6
|
2
|
|
9
|
1
|
3
|
|
10
|
6
|
6
|