STA 6127

Statistical Methods for Social Research 2

Spring 2011

Section 7314 – Floyd 100 – MWF 3

Instructor: Dr. Larry Winner

Office: 228 Griffin/Floyd,    273-2995

Office Hours: TBA (See class website)

e-mail(use sparingly)

Text: Statistical Methods for the Social Sciences, 4th Ed,  Agresti and Finlay

Course Description: Statistical methods commonly applied in social science research, with a single response (dependent) variable and one or more explanatory/control (independent) variable(s). Cases covered include when the response and prediction variables are of interval, nominal, and ordinal scales. Models, interpretations, and computing (SPSS) will be stressed.

Course Topics

• Multiple Linear Regression
• Model
• Regression Coefficient Estimates, Standard Errors, t-tests
• Analysis of Variance, F-test
• Computer Output
• Multiple Correlation, and R2
• Modeling Interactions
• Comparing Models
• Partial Correlation
• Standardized Regression Coefficients
• Comparing Groups: Analysis of Variance Methods
• Comparing More than 2 Group Means, F-test
• Multiple Comparisons
• ANOVA using Regression Approach
• 2-Factor ANOVA
• Randomized Block Design
• Repeated Measures ANOVA
• Assumptions and Violations
• Analysis of Covariance/Predictors of Different Scales
• Comparing Means and Regression Lines across Groups
• Regression with Quantitative and Categorical Predictors
• Interactions Between Quantitative and Categorical Predictors
• Inference for Models with Quantitative and Categorical Predictors
• Model Building for Multiple Regression
• Automated Selection Methods
• Diagnostics
• Multicollinearity
• Generalized Linear Models
• Polynomial Regression
• Exponential Growth Models
• Logistic Regression for Categorical Responses
• Logistic Regression for Binary Responses
• Multiple Logistic Regression
• Inference for Logistic Regression Models
• Ordinal Response Models
• Introduction to Advanced Methods (Time permitting)
• Longitudinal Data Analysis
• Hierarchical Models
• Factor Analysis
• Structural Equation Models

Exam Dates:

• Exam 1: February 10
• Exam 2: March 19
• Exam 3: April 25

Notes:

• Homework problems will be assigned from textbook, but not graded.
• Homework projects will be posted on class website and will be taken up and graded. Projects must be handed in (hard copy), e-mail will not be accepted.
• Exams are 1-hour. You may bring a copy of the t,c2,F table with hand written notes (8.5x11”)
• Homework will count 25% of your course grade, highest exam will be 30%, lowest exam 20%, median exam 25%