A therapist at the Acme College Counseling Center noted a high prevalence of adjustment disorder among incoming freshmen, with depression being the predominate symptom. The clinicians want to determine the characteristics of those most amenable to therapy over a course of 10 sessions.
Data set: Ch 12 – Exercise 05B.sav
Codebook
Variable: Treatment_effectiveness
Definition: [Outcome] Score on the Acme Adjustment Scale
Type: Continuous (5 = Poorly adjusted . . . 40 = Well adjusted)
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical (0 = Female, 1 = Male)
Variable: Age
Definition: [Predictor] Age
Type: Continuous
Variable: Units
Definition: [Predictor] Number of units the student is enrolled in
Type: Continuous
Variable: Work

Definition: [Predictor] Number of hours of (nonacademic) work per week
Type: Continuous
Variable: Treatment_modality
Definition: [Predictor] Form of treatment
Type: Categorical (0 = Individual, 1 = Group)
Variable: Home
Definition: [Predictor] Living conditions at home

Type: Categorical (0 = Lives with family, 1 = Lives with roommate(s), 2 = Lives alone)

This data set contains a polychotomous predictor variable (Home), which is represented by the corresponding dummy-coded variables. Follow this load procedure:
1. Move Treatment_effectiveness into the Dependent box.
2. Move Gender, Age, Units, Work, and Treatment_modality into the Independent(s) box.
3. Set Method to Forward.
4. Click Next.
5. Move Home.1 and Home.2 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.