Extra Credit
Worth Up to 12 Points
Note: There are three overall questions with subquestions, and each overall question is worth up to4 points.
Overview
Given the current economy, where employees are asked to do more with less, job stress is at an all time high. An organization wished to determine what factors in the work environment were causing the most job stress.
A sixitem survey was administered to sample 202 employees. The survey was measured on the following scale:
Scale 
Code 
Strongly Agree 
5 
Agree 
4 
Neutral 
3 
Dis Agree 
2 
Strongly Disagree 
1 
Below is each question. Employees rated each one using the scale above.
Q1. 
I have the resources I need (e.g., tools, equipment, supplies, personnel) to do my job effectively. (RESOURCES) 
Q2. 
Policies and programs help me balance my work and personal commitments. (WORKLIFE) 
Q3. 
I am satisfied with my involvement in decisions that affect me. (INVOLVEMENT) 
Q4. 
I have the opportunities to learn and grow in my job. (LEARN) 
Q5. 
I am satisfied with my total compensation (pay, benefits). (REWARDS) 
Q6. 
The amount of stress I experience on the job is reasonable. (STRESS)

1. Below is computer output from SPSS, the package used in the text. The table below has descriptive statistics for each variable measured the 5point scale, with 5 being “Strongly Agree” and 1 being “Strongly Disagree”
1a. Which variable is has the most favorable rating? (1 pt)
b. Which variable has the most variation in the response? (1 pt)
c. Below is a frequency distribution of the stress variable.
STRESS

Frequency 
Percent 
Valid Percent 
Cumulative Percent 

Valid 
1.00 
37 
18.3 
18.3 
18.3 
2.00 
20 
9.9 
9.9 
28.2 

3.00 
45 
22.3 
22.3 
50.5 

4.00 
45 
22.3 
22.3 
72.8 

5.00 
55 
27.2 
27.2 
100.0 

Total 
202 
100.0 
100.0 

What percentage of respondents “Strongly Agree/Agree” with their stress level being reasonable? (One number) (1 pt)
What percentage of respondents “Strongly Disagree/ Disagree” with their stress level being reasonable? (One number) (1 pt)
2. In addition to the survey items, respondents were asked to report their age as follows:
My generation is (AGE) 
Generation Y (Born 19812000) 
1 

Generation X (Born 19651980) 
2 

Baby Boomers (19461964) 
3 

Veterans (Born 19221945) 
4 
Below is output from an ANOVA to test if there are differences in stress levels between age groups.
What was is the null hypothesis?
What is the alternative hypothesis?
Descriptives
STRESS
Lower BoundUpper BoundLower BoundUpper Bound
Lower BoundUpper Bound

N 
Mean 
Std. Deviation 
Std. Error 
95% Confidence Interval for Mean 
Minimum 
Maximum 

Lower Bound 
Upper Bound 

1.00  
83 
4.1325 
1.39486 
.15311 
3.8280 
4.4371 
1.00 
11.00 

2.00 
45 
3.0444 
1.39733 
.20830 
2.6246 
3.4642 
1.00 
5.00 
3.00 
37 
2.4595 
2.06283 
.33913 
1.7717 
3.1472 
1.00 
11.00 
4.00 
37 
3.1351 
1.00449 
.16514 
2.8002 
3.4701 
1.00 
5.00 
Total 
202 
3.4010 
1.60924 
.11323 
3.1777 
3.6243 
1.00 
11.00 
Which group has the lowest stress level? (1 pt)
Which group has the highest stress level? (1 pt)
Which group has the most variation in stress level? (1 pt)
Below is the ANOVA output.
ANOVA
STRESS

Sum of Squares 
df 
Mean Square 
F 
Sig. 
Between Groups 
91.680 
3 
30.560 
4.339 
.041 
Within Groups 
322.899 
198 
1.631 


Total 
414.579 
201 



Are the results significant? Write a 23 sentence summary of your findings. (1 pt)
3. The organization that surveyed the employees wanted to know what factors influenced STRESS so they could take action. To do that a multiple regression analysis was run that regressed the all the items against the STRESS measure to see which ones had the most impact on stress. Below are the findings:
Model Summary
Model 
R 
R Square 
Adjusted R Square 
Std. Error of the Estimate 
1 
.279(a) 
.55 
.53 
1.39776 
a Predictors: (Constant), REWARDS, LEARN, WORKLIFE, RESOURCES, INVOLVEMENT
ANOVA(b)
Model 

Sum of Squares 
df 
Mean Square 
F 
Sig. 
1 
Regression 
30.233 
5 
6.047 
3.095 
.015(a) 
Residual 
357.533 
183 
1.954 



Total 
387.766 
188 



a Predictors: (Constant), REWARDS, LEARN, WORKLIFE, RESOURCES, INVOLVEMENT
b Dependent Variable: STRESS
Coefficients(a)
BStd. Error
Model 

Unstandardized Coefficients 
Standardized Coefficients 
t 
Sig. 

B 
Std. Error 
Beta 

1  
(Constant) 
1.992 
.560 

3.558 
.000 

RESOURCES 
.158 
.123 
.117 
1.287 
.200 

WORKLIFE 
.148 
.125 
.104 
2.131 
.039 

INVOLVEMENT 
.292 
.136 
.200 
2.147 
.033 

LEARN 
.110 
.112 
.076 
.978 
.329 

REWARDS 
.179 
.134 
.124 
1.330 
.185 
a Dependent Variable: STRESS
What is the Rsquare and what does it mean? (1 pt)
Was the overall multiple regression significant? (1 pt)
Looking at each regression coefficient, which one(s), if any, are statistically significant? (1 pt)
Summarize the results in 23 sentences. (1 pt)
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