assignment before starting and develop a plan

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Read each question FULLY and CAREFULLY before answering. 
Use your time well – look over the assignment before starting and develop a plan.  If you are stuck on a problem, move on and come back to it later.
If you are completely stuck on a problem, you may ask me and I will indicate what the right steps are to solve that part of the question.  This will allow you to proceed with subsequent questions that rely on these steps.  Obviously, you will not earn credit for the steps I give you answers for so you should use this option judiciously.
Be sure to refer to Gravetter and Wallnau as this application includes t-tests, ANOVAs, correlation, and regression, in addition to descriptive statistics.  
You may also wish to refer to Pace’s e-guide to SPSS as a refresher for how to conduct the tests (as well as videos placed in the helpful resources folder in the classroom).
If you are confused about a question, ask me.  I may not be able answer as I cannot give the answer, but I may provide a useful clarification.  It doesn’t hurt to ask.
Instructions 
Open “Week7_RSM801” data in SPSS.
About these data: Roy Baumeister and his colleagues study self-regulation. In other words, they ask why don’t we eat all of the tasty tidbits we encounter, attend parties when we should be studying, and have sex with every attractive potential partner who crosses our path?  In short, how do we manage to forgo temptation? An exploration of (fictitious) data regarding these questions will comprise the bulk of the final lab exam. 

SUBJECT
Unique subject identifier from 1-800
PERSONALITY
Personality Type (0 = Introvert; 1 = Extrovert)
CTRL_PER
Persistence after watching a sad movie and being asked to control emotions (1-10 scale; higher numbers indicate greater persistence).
NO_CTRL_PER
Persistence after watching a sad movie and NOT being asked to control emotions (1-10 scale; higher numbers indicate greater persistence).
NEED_CTRL
Self-report of need for control in the environment, measured two months before participating in the study (1-5 scale; higher numbers indicate greater need for control over one’s environment)
JOB
First job or activity following college graduation (0 = Public service job; 1 = Graduate school; 2 = Travel; 3 = Private sector job)
Create a new variable that represents the z-score of persistence on the brain teasers after being asked to control emotions (CTRL_PER). Analyze whether persistence on the brain teasers after being asked to control emotions contains any outliers. Write up your conclusion (using stats and a figure to back up your conclusions). Report what you would do if you do find any outliers (delete, remove, transform), but leave the variable as is.  6 points
Is self-reported need to control one’s environment associated with persistence scores when participants did not control their emotions after watching a sad move (variable NO_CTRL_PER)?  The following questions are worth a total of 8 points.What is the appropriate test to conduct to answer this question?

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Conduct the appropriate test to answer this question.  Paste your output in your Word document.
Write your results in APA format as if you were writing them in a journal article.
Do introverts and extroverts differ in their need to control their environment? The following questions are worth a total of 8 points.
What test do you want to perform to answer this question?
Conduct the test you indicated in Part A. Paste your output into your Word document.
Write your results in APA format as if you were reporting them in a journal article. 

(4 points)
Create a frequency table in SPSS that shows how many students plan to pursue each job or activity following graduation.  Paste into your Word document. 
What percent of people plan to travel following graduation?

Does persistence after watching a sad movie and being asked to control emotions vary depending on job plans?The following questions are worth a total of 8 points.
What test do you want to perform to answer this question?
Conduct the test you indicated in part A. Paste your output into your Word document.
Include a figure and describe what you see.
Write your results as if you were reporting them in a journal article. 
Is “Need for control” approximately normally distributed? 2 point
___ Yes  ___ No
What evidence do you have to support this conclusion? 2 points
Report the following for scores on “Need for Control:” 3 points
Mean ________
Median ________
Mode ________
  Variance ________
  N ________      
 
 
 
 
 
 
 
A group of psychologists was interested in what kind of humor people find funny.  They randomly assigned people to read about different types of humor (knock knock jokes, puns, sarcasm, or practical jokes) and rate how funny each joke, comment, or situation was. Ratings were made on 1 (not at all funny) to 10 (extremely funny) scales. They then conducted a one-way ANOVA with a Tukey post-hoc test to see if there were differences in average ratings of humor across the four different groups.  SPSS output is below.
Describe these results in plain English – be sure to be thorough and complete in your answer, and to indicate what information you are using to draw your conclusion. That is, what can you conclude about the four groups (knock knock, pun, saracasm, and practical joke) in terms of humor ratings? Write per APA guidelines. 4 points
An industrial psychologist was hired by a company to determine whether gender and work location impacted confidence. The results of this study are presented in the figure below. 8 points
What test of statistical test was performed? You should base your answer on the study description as well as the figure above. 
Number and label the figure per APA guidelines.
Write hypotheses for the impact of gender and work location on confidence.
Describe the results of the study based on what you see in the figure.
A researcher is interested in whether age, years of experience, or confidence predict certification exam scores. 12 points
What statistical test would you recommend?
Using the output below, what was the best predictor of exam scores: age, years of experience, or confidence? Use statistics to back up your answer.
Were there any other variables that improved the ability to predict performance on the certification exam? Use statistics to back up your answer.
Were there any other variables that did not predict performance on the certification exam?
What is the best model? Write up the results of the overall test per APA guidelines.
Using the coefficients table, write up an equation and explain what this means.
What type of figure would you want to see to help interpret this data?
Descriptive Statistics
 
Mean
Std. Deviation
N
Certification Exam
69.65
10.667
60
Age
37.38
8.988
60
Years of Experience
5.87
4.436
60
Confidence
21.43
5.518
60
Correlations
 
 
Certification Exam
Age
Years of Experience
Confidence
Pearson Correlation
Certification Exam
1.000
.610
.444
.596
Age
.610
1.000
.639
.426
Years of Experience
.444
.639
1.000
.448
Confidence
.596
.426
.448
1.000
Sig. (1-tailed)
Certification Exam
.
.000
.000
.000
Age
.000
.
.000
.000
Years of Experience
.000
.000
.
.000
Confidence
.000
.000
.000
.
N
Certification Exam
60
60
60
60
Age
60
60
60
60
Years of Experience
60
60
60
60
Confidence
60
60
60
60
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
Age
.
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100).
2
Confidence
.
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100).
a. Dependent Variable: Certification Exam
Model Summaryc
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.610a
.372
.361
8.525
2
.714b
.510
.493
7.595
a. Predictors: (Constant), Age
b. Predictors: (Constant), Age, Confidence
c. Dependent Variable: Certification Exam
ANOVAc
Model
Sum of Squares
Df
Mean Square
F
Sig.
1
Regression
2498.802
1
2498.802
34.386
.000a
Residual
4214.848
58
72.670
 
 
Total
6713.650
59
 
 
 
2
Regression
3426.044
2
1713.022
29.700
.000b
Residual
3287.606
57
57.677
 
 
Total
6713.650
59
 
 
 
a. Predictors: (Constant), Age
b. Predictors: (Constant), Age, Confidence
c. Dependent Variable: Certification Exam
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
 
B
Std. Error
Beta
t
Sig.
1
(Constant)
42.582
4.745
 
8.973
.000
Age
.724
.123
.610
5.864
.000
2
(Constant)
33.324
4.817
 
6.918
.000
Age
.517
.122
.435
4.248
.000
Confidence
.794
.198
.411
4.010
.000
a. Dependent Variable: Certification Exam
Excluded Variablesc
Model
 
Collinearity Statistics
Beta In
t
Sig.
Partial Correlation
Tolerance
1
Years of Experience
.092a
.677
.501
.089
.592
Confidence
.411a
4.010
.000
.469
.819
2
Years of Experience
-.032b
-.254
.800
-.034
.554
a. Predictors in the Model: (Constant), Age
b. Predictors in the Model: (Constant), Age, Confidence
c. Dependent Variable: Certification Exam   How is a moderation effect expressed statistically? That is, how does the moderator impact the relationship between the independent and dependent variable? 2 pointsAccording to the Baron and Kenny model, how is a partial mediation expressed? 2 points

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