- Please be sure to create a cover page so I can keep track of who submitted the document J
- 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.

# The data set you opened represents scores of 800 recent college graduates who participated in a study. First, participants were asked to control their emotions while watching a very sad movie, and then completed challenging set of brain teasers. One week later, participants returned to the lab and again watched a sad movie. This time, they were not asked to control their emotions and completed a different (but equally challenging) set of brain teasers. In both cases, the researchers measured how much participants persisted at the difficult brain teasers. The variables in this data set are:

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 being asked to control emotions (1-10 scale; higher numbers indicate greater persistence).NOT |

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?

- 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?

- 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.

- 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/Removed^{a} | |||

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 Summary^{c} | ||||

Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |

1 | .610^{a} | .372 | .361 | 8.525 |

2 | .714^{b} | .510 | .493 | 7.595 |

a. Predictors: (Constant), Age | ||||

b. Predictors: (Constant), Age, Confidence | ||||

c. Dependent Variable: Certification Exam |

ANOVA^{c} | ||||||

Model | Sum of Squares | Df | Mean Square | F | Sig. | |

1 | Regression | 2498.802 | 1 | 2498.802 | 34.386 | .000^{a} |

Residual | 4214.848 | 58 | 72.670 | |||

Total | 6713.650 | 59 | ||||

2 | Regression | 3426.044 | 2 | 1713.022 | 29.700 | .000^{b} |

Residual | 3287.606 | 57 | 57.677 | |||

Total | 6713.650 | 59 | ||||

a. Predictors: (Constant), Age | ||||||

b. Predictors: (Constant), Age, Confidence | ||||||

c. Dependent Variable: Certification Exam |

Coefficients^{a} | ||||||

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 Variables^{c} | ||||||

Model | Collinearity Statistics | |||||

Beta In | t | Sig. | Partial Correlation | Tolerance | ||

1 | Years of Experience | .092^{a} | .677 | .501 | .089 | .592 |

Confidence | .411^{a} | 4.010 | .000 | .469 | .819 | |

2 | Years of Experience | -.032^{b} | -.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 |