Statistical Analysis of Social Data: Applied Regression Methods II
- Jeremy Freese
- Parkes Hall 222 - MoWe 12:30PM - 1:50PM
Overview of classThis course will continue the project begun in your earlier statistics courses: developing
your ability to draw substantively meaningful and accurate inferences from quantitative
social data. We will proceed by considering the extension of the familiar linear regression
model to several different classes of outcomes: censored, binary, ordinal, nominal, and
count. These models are frequently used in quantitative social science and so an
understanding of them is valuable in its own right. More importantly, however, our close
and practical consideration of these models is intended to help cultivate an understanding
of fundamental principles of statistical inference that extend beyond any specific set of
Registration RequirementsThis course follows Sociology 400 and Sociology 401-1. Accordingly, I presume familiarity
with linear algebra, with the material covered in a standard introduction to social science
statistics for undergraduates, and with the basics of linear regression. All computer work
in the course will be conducted using Stata. Some work in the course requires addon
packages to Stata to be used; more details about this will be provided.
Evaluation MethodLab assignments, other assignments, and final paper.
Class Materials (Required)The most important readings for the course are the lecture notes I provide on Blackboard.
Except for the possibility of addenda in response to issues raised in class, I will provide the
long version of notes at least three days prior to the lecture in which they will be discussed.
You are expected to have reviewed these prior to the pertinent lecture and to bring them to
class. In all, the handouts will be voluminous and you should get yourself a binder and
threehole punch (or whatever works for you) now. The lecture slides will often be
brought as handouts to class and might not be posted until afterwards.
The book for the course is:
Long, J. Scott and Jeremy Freese. 2006. Regression Models for Categorical Dependent
Variables Using Stata, Second Edition. College Station, TX: Stata Press.
[Note: This book is currently being revised and you may be given some of the revised materials as part of your course materials.]
Enrollment RequirementsEnrollment Requirements: Students must have completed or be currently enrolled in SOCIOL 401-1 or have received the intstructors permission to register for this class.
Add Consent: Department Consent Required
Current as of 06/03/14 09:13:04 AM