WEEK 15:
TEST REVIEW
We have probably already made most of
the student class presentations. They just drew up their final models on the
board, and talked about what they found and what ideas they have for future
research.
The best way to review for the final
exam is to take a look at a previous exam:
Political Analysis, Optional Final Exam (Spring 2016 sample)
Party identification ranges from 1 for Strong Democrat to 7 for Strong Republican.
Ideology ranges from 1 for Very Liberal to 5 for Very Conservative.
Race is coded as 1 for White, and 2 for African American.
Family Income is coded as 1 for Under $10,000 to 8 for Over $70,000.
Sex is coded as 1 for Male and 2 for Female.
Age ranges from 18 to 93, and is age in years.
The adjusted R squared for this multiple regression equation is .52
The Betas or standardized regression coefficients and their signs are:
Ideology = +.276
Race = -.531
Income = +.157
Sex = -.035
Age = -.052
The significance levels of these five predictors are:
Ideology = .001
Race = .001
Income = .001
Sex = .129
Age = .023
Answer the following questions:
A) How good a job are these five predictors doing in explaining party identification? That is, what percentage of the variance in party identification is being explained by these five independent variables?
B) What predictor is MOST important in affecting party identification? What predictor is Second in importance? What predictor is Third in importance? What predictor is Fourth in importance? What predictor is Least important?
C) List each predictor that is statistically significant at the .05 level or even more significant level.
D) What category of each independent variable is most Republican? Circle the correct category in each of the following pairs:
Very Liberal or Very Conservative
White or African American
Under $10,000 or Over $70,000
Males or Females
The younger in age, or the older in age
Education: High school dropout mean = 2.10. College graduate mean = 2.22. Significance level = .170
Ideology: Liberal = 1.92. Conservative = 2.43. Significance level = .001
Age: 18-35 = 1.83. 56-99 = 2.42. Significance level = .001
Race: White = 2.34. Black = 1.96. Significance level = .001
Sex: Male = 2.29. Female = 2.12. Significance level = .001
6. (8 points) What are the 4 major problems with panel designs, according to the lecturer?