CD 0249 - Applied Multivariate Analysis

Institution:

Tufts University

Subject:

Description:

Introduction to multivariate statistics, with a special emphasis on methods for studying change and the effects of context. Topics: general linear hypothesis testing, logistic regression, multilevel models, cluster analysis, principal components analysis, and exploratory factor analysis. Focus on using computer spreadsheet Excel and a statistical package such as SPSS or SAS to analyze real data with statistical techniques introduced through lectures, interpreting results, and writing about the findings. A good background in multiple regression analysis, including use and interpretation of dummy variables and interactions, is required. Prerequisites Two semesters of statistics and data analysis methods. This course is offered during the following semesters: Spring Semester

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.tufts.edu

Phone Number:

(617) 628-5000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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