Statistical Analysis of Social Data: Applied Regression Methods II (401-2-20)

Topic

Categorical Regression

Instructors

Julia Behrman

Meeting Info

Parkes Hall 222: Tues 9:00AM - 11:50AM

Overview of class

This course is part of the quantitative methods sequence for graduate students in sociology. For most of the course we will focus on regression-like methods for categorical outcomes, notably binary outcomes, ordered outcomes, nominal outcomes, count outcomes, and (if time permits) event outcomes. The course will also include discussion of practical issues in performing a statistical analysis of secondary data. I assume that you the enter class either having data at hand to perform an analysis or that you can find data on your own. The major goals of the course are for students (1) to become proficient enough in regression models for categorical variables to understand, explain, and critique its use in articles appearing in sociology journals and (2) to be able to perform a competent analysis of data that is of sufficient quality to appear as an article in a sociology or social science journal. The major assignment for the course will be for students to write a paper that is a data analysis of secondary data. The final paper should be similar to a draft of a publishable article, although there will be some sections that I require you to turn in that you would not find in a regular article.

Registration Requirements

This course is built upon Sociology 401-1, and thus students are assumed to have working knowledge of elementary statistics and multiple linear regression.

Class Materials (Required)

All materials for this course will be made available on Canvas - no purchase necessary.

Enrollment Requirements

Enrollment Requirements: Students must have completed or be currently enrolled in SOCIOL 401-1 or have received the intstructors permission to register for this class.

Associated Classes

LAB - Parkes Hall 222: Thurs 11:00AM - 11:50AM