SURVMETH 673 - Survey Practicum: Data Analysis
Section: 001
Term: FA 2017
Subject: Survey Methodology (SURVMETH)
Department: SRC-PSM Graduate Program
With permission of department.
Advisory Prerequisites:
May not be repeated for credit.
Primary Instructor:

This course is the second in the series of courses comprising the survey research practicum. The course focuses on lectures and readings on most of the following issues; data cleaning and file preparation; classification systems and recodes; descriptive statistics and hypothesis testing; sums of squares and the analysis of variance; data reduction through factor and/or cluster analysis and the development of indices; cross-classification of categorical data and the measurement of association; multivariate linear regression tools; dummy-variable regression and multiple classification analysis; the logic of causal analysis and multiple dependent variables; multiple indicators, measurement errors and statistical analysis; report writing, graphics and the presentation of data.

SURVMETH 673 - Survey Practicum: Data Analysis
Schedule Listing
001 (SEM)
Tu 10:00AM - 12:00PM
Note: Department permission and prerequisites required. Contact:
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 0226527832
The Chicago guide to writing about multivariate analysis, Author: Jane E. Miller., Publisher: Univ. of Chicago Press [Online-Au 2005
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