Acme Employment Services wants to evaluate the effectiveness of its “Get That Job” seminars, which consists of experts facilitating sessions designed to enhance resume writing, job search strategies, and interviewing techniques. After 90 days, participants are surveyed to assess their characteristics and outcomes.
Data set: Ch 12 – Exercise 04B.sav
Codebook
Variable: Employment_status
Definition: [Outcome] Number of days it took to find a job
Type: Continuous (1 . . . 90; 90 = Still looking for work)
Variable: Age
Definition: [Predictor] Age
Type: Continuous
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical (0 = Female, 1 = Male)
Variable: Race
Definition: [Predictor] Race
Type: Categorical (0 = African American, 1 = Asian, 2 = Caucasian, 3 = Latino, 4 = Other)
Variable: Experience
Definition: [Predictor] Years of experience working in their current field
Type: Continuous

Variable: Applications
Definition: [Predictor] Total number of job applications submitted
Type: Continuous

This data set contains a polychotomous predictor variable (Race), which is represented by the corresponding dummy-coded variables. Follow this load procedure:
1. Move Employment_status into the Dependent box.
2. Move Gender, Experience, and Applications into the Independent(s) box.
3. Set Method to Forward.
4. Click Next.
5. Move Race.1, Race.2, Race.3, and Race.4 into the Independent(s) box.
a. Write the hypotheses.
b. Run each criterion of the pretest checklist (sample size, normality, multicollinearity) and discuss your findings.

c. Run the multiple regression analysis and document your findings (overall R², R² change of statistically significant predictors, hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the multiple regression analysis results, hypothesis resolution, and implications of your findings.