In an effort to identify the characteristics of incoming high school students who are most vulnerable to dropping out, the research staff gathered data on the senior students at the end of the school year.
Based on this data, freshmen who are identified as vulnerable to dropping out will be offered access to free comprehensive tutorial services.
Data set: Ch 13 – Exercise 08A.sav
Codebook
Variable: HS_completion
Definition: [Outcome] Did the student drop out or graduate?
Type: Categorical
0 = Graduated
1 = Drop-out [←BASIS FOR MODEL]
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical
0 = Female [←REFERENCE]
1 = Male
Variable: Adjusted_income
Definition: [Predictor] Annual household income ÷ number of people in household

Type: Continuous
Variable: Education_parents
Definition: [Predictor] Highest years of parent’s education
Type: Continuous (e.g., High school = 12, Associate’s = 14, Bachelor’s = 16, Master’s = 18, Doctorate > 18)
Variable: Language_skill
Definition: [Predictor] Pre–high school reading and writing skills placement exam
Type: Continuous (1 . . . 30)

Variable: Math_skill
Definition: [Predictor] Pre–high school math skills placement exam
Type: Continuous (1 . . . 30)
a. Write the hypotheses.
b. Run each criterion of the pretest checklist (sample size, normality, multicollinearity) and discuss your findings.
c. Run the logistic regression analysis and document your findings (odds ratios and Sig. [p value], hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the logistic regression analysis results, hypothesis resolution, and implications of your findings.