SURVMETH 701 - Analysis of Complex Sample Survey Data
Section: 001
Term: FA 2017
Subject: Survey Methodology (SURVMETH)
Department: SRC-PSM Graduate Program
Credits:
3
Consent:
With permission of department.
Advisory Prerequisites:
SURVMETH 612 or SOC 612 or PSYCH 697.
Repeatability:
May not be repeated for credit.
Primary Instructor:

This introductory course on the analysis of data from complex sample designs covers the development and handling of selection and other compensatory weights; methods of handling missing data; the effect of stratification and clustering on estimation and inference; alternative variance estimation procedures; methods for incorporating weights, stratification, clustering, and imputed values in estimation and inference procedures for complex sample survey data; and generalized design effects and variance functions.

SURVMETH 701 - Analysis of Complex Sample Survey Data
Schedule Listing
001 (SEM)
P
16920
Open
7
 
-
Th 12:30PM - 3:00PM
Note: Department permission and prerequisites required. Contact: michpsm.isr@umich.edu
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 1420080660
Applied survey data analysis, Author: Steven G. Heeringa, Brady T. West, Patricia A. Berglund., Publisher: Chapman & Hall/CRC 2010
Required
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