"Statistical Methods for Hierarchical & Panel Data" - Topics in Sociological Analysis
- Lincoln G Quillian
- Parkes Hall 222 - MoWe 2:00PM - 3:20PM
- This course is an introduction to statistical methods for data with a hierarchical structure and for panel data. The first part of the course covers random and fixed effects models. The second part covers multilevel models (random coefficient models). We will focus on the application of these methods to social science data and problems. Models for both continuous and discrete outcomes are discussed.
- Completion of at least two quarters of graduate statistics as taught in social science departments is required. For sociology students, completion on concurrent enrollment in sociology 401-2 meets this requirement. Students should have a working knowledge of elementary statistics, multivariate linear regression, and logistic regression.
- Snijders, Tom, and Roel Bosker. 2011. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Second Edition. Thousand Oaks, CA: Sage;
Allison, Paul. 2009. Fixed Effects Regression Models. Thousand Oaks,
Rabe-Hesketh, Sophia and Anders Skrondal. 2008. Multilevel and Longitudinal Modeling Using Stata. Second Edition. Stata Press;
All three books have been ordered through Norris.
Overview of class
Class Materials (Required)
Current as of 05/06/13 11:24:51 AM