SURVMETH 722 - Randomized and Nonrandomized Research Design
Section: 101
Term: FA 2017
Subject: Survey Methodology (SURVMETH)
Department: SRC-PSM Graduate Program
Credits:
3
Consent:
With permission of department.
Advisory Prerequisites:
Graduate level course in statistical methods or department permission.
Repeatability:
May not be repeated for credit.
Primary Instructor:

There is a close linkage between design and analysis. Design drives the analysis, and analysis reveals the design. For randomized experiments, we shall cover a wide range of designs and their alternative analysis: completely randomized designs, randomized block design, factorial designs, and repeated measures designs, etc. For each of the designs, examples will be provided and start with research questions, followed by hypothesis constructions, data layout, statistical modeling analysis, SAS analysis of the examples, and conclusions from the analysis. For nonrandomized designs, we will talk about quasi-experimental designs, including control groups, pre-post tests, interrupted time series, regression discontinuity, etc. Linear regression and logistic regression analysis using SAS will be introduced for data collected with randomized or nonrandomized designs.

SURVMETH 722 - Randomized and Nonrandomized Research Design
Schedule Listing
101 (LEC)
P
25117
Open
14
 
-
M 3:00PM - 5:30PM
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: 9780395615560
Experimental and quasi-experimental designs for generalized causal inference, Author: William R. Shadish ; Thomas D. Cook ; Donald T. Campbell., Publisher: Houghton Mifflin [Nachdr.]. 2002
Required
ISBN: 9781452235004
Propensity score analysis : statistical methods and applications., Publisher: Sage Publications 2014
Required
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