SURVMETH 746 - Applications of Statistical Modeling
Section: 101
Term: FA 2018
Subject: Survey Methodology (SURVMETH)
Department: SRC-PSM Graduate Program
With permission of department.
Advisory Prerequisites:
SURVMETH 685 and 686 (statistical methods sequence), SURVMETH 612 (Methods of Survey Sampling) or equivalent with department permission.
May not be repeated for credit.
Primary Instructor:

Advanced Statistical Modeling, designed for students on both the social science and statistical tracks for the two programs in survey methodology, will provide students with exposure to applications of more advanced statistical modeling tools for both substantive and methodological investigations that are not fully covered in other MPSM or JPSM courses. Modeling techniques to be covered include multilevel modeling (with an application to methodological studies of interviewer effects), structural equation modeling (with an application of latent class models to methodological studies of measurement error), classification trees (with an application to prediction of response propensity), and alternative models for longitudinal data (with an application to panel survey data from the Health and Retirement Study). Discussions and examples of each modeling technique will be supplemented with methods for appropriately handling complex sample designs when fitting the models. The class will focus on essential concepts, practical applications, and software, rather than extensive theoretical discussions.

SURVMETH 746 - Applications of Statistical Modeling
Schedule Listing
101 (LEC)
F 10:00AM - 12:30PM
Note: Department permission and prerequisites required. Contact:
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