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 
The higher the number, the more favorable.
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” (Favorable = “SA or A”
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 thestress variable.
STRESS

Frequency 
Percent 
Cumulative Percent 

Valid 
1.00 
37 
18.3 
18.3 

2.00 
20 
9.9 
28.2 

3.00 
45 
22.3 
50.5 

4.00 
45 
22.3 
72.8 

5.00 
55 
27.2 
100.0 

Total 
202 
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:
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?
Below are summary statistics for
STRESS

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 
Lower BoundUpper BoundLower BoundUpper Bound
Lower BoundUpper Bound
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. (Pvalue) 
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)
Multiple Regression – Will Cover in Week #4
3. The organization that surveyed the employees wanted to know what factors influenced STRESS so they could take action. To do that amultiple 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 
.742(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)
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 
BStd. Error
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)
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a moneyback guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreThe Product ordered is guaranteed to be original. Orders are checked by the most advanced antiplagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.
Read moreThe Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.
Read moreThe Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.
Read moreBy placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.
Read more