Multivariate Analysis

PSY 633/392, Section 01 (Spring 2006)

COURSE SYLLABUS

Overview & Goals   Requirements and Grades
Schedule of Lectures and Readings  Links

 

Instructor

Lee A. Kirkpatrick
office: Millington 249
phone: 221-3997
e-mail: lakirk@wm.edu

Class Schedule

Lecture: Tue. & Thu. 12:30 - 1:50, Millington 230
Lab: Fri. 2:00 - 3:20, Millington 123

Required Texts

1) Howell, David C. (2002). Statistical methods for psychology (5th Edition). Belmont, CA: Duxbury. [required]

2) Kirkpatrick, L. A., & Feeney, B. C. (2000).  A simple guide to SPSS for Windows: For Versions 8.0, 9.0, and 10.0. Belmont, CA: Wadsworth. [recommended]

Additional readings will be available either on reserve (at Swem and/or electronic reserve) or via the WWW.

Overview and Goals

PSY 633/392 (Multivariate Analysis) is designed as the second half of our 2-semester graduate statistics course sequence. As noted last semester, I will treat this course essentially as "Advanced Statistics Part 2." 

This course is designed to pick up where PSY 631/391 left off in our survey of advanced statistics for psychological research.  The first segment of the course will be devoted to completing our survey of analysis of variance, beginning with contrasts/planned comparisons in oneway designs and then moving on to factorial independent-groups designs, within-subjects (repeated-measures) designs and mixed designs.  One "truly multivariate" technique -- multivariate ANOVA, or "MANOVA" -- will be covered here as an alternative method for analyzing within-subjects designs.  We'll then switch gears to cover multiple regression, and revisit analysis of variance from the more general perspective of general linear models (GLM).  In this context we'll also cover analysis of covariance (ANCOVA).  Unfortunately, this will leave us little time to cover other "truly multivariate" methods, so I will provide only a quick survey of some of these methods near the end of the semester.

The purpose of both of these courses is to prepare students to analyze real data from real research, and to understand these analyses at a conceptual level. Toward this end, we will focus more on concepts and computer analyses, and less on hand calculations and mathematics (particularly next semester, when hand calculations become virtually impossible for many of the advanced techniques covered). Discussion of issues in research design and philosophy of science will be sprinkled throughout the course. I strongly encourage you to bring your own statistical questions and problems to class. The material will make much more sense, and sink in more deeply, when you think about it in the context of your own research rather than someone else's (i.e., your textbook author's and my) examples. 

Laboratory

Our laboratory period is scheduled on Friday afternoons from 2:00-3:20, and we will meet every week unless I announce otherwise. As in PSY 631/391, labs will be devoted largely to computer applications (using SPSS), review of homework problems, and discussion of students' own research and data. I may also assign additional readings periodically for discussion during lab sessions.

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Course Requirements and Grades

Grades will computed as in PSY 631/391, with two mid-term exams plus a final exam accounting for 80% of the final grade and weekly (more or less) laboratory/homework assignments contributing 20%. These assignments typically will involve homework problems from the textbook, including both hand and computer (SPSS) calculations.  As in PSY 631/391, the final exam will be comprehensive, but will focus mainly on material covered after Exam 2 and include older material mainly insofar as it continues to relate to the later material. 

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Schedule of Lectures and Readings

Week of

Read for Class

Topics

Jan. 16 Howell chapter 12 [cont.]
Planned Comparisons in ANOVA
Jan. 23 "    "
Planned Comparisons [cont.] -- NO CLASS THURSDAY
Jan. 30 Howell chapter 13 Factorial ANOVA 
Feb. 6
"    " Factorial ANOVA [cont.]
Feb. 13 ----- Review & Catch-up; EXAM 1 on Fri. 2/17
Feb. 20 Howell chapter 14 Within-Subjects/Repeated Measures ANOVA
Feb. 27 "    " Mixed-Model ANOVA
Mar. 6
*** SPRING BREAK *** *** SPRING BREAK ***
Mar. 13 [handout] Introduction to MANOVA
Mar .20 [handout] MANOVA Approach to Within-Subjects ANOVA
Mar. 27 ----- Review & Catch-up; EXAM 2 on Fri. 3/31
Apr. 3
Howell chapter 15 Multiple Regression
Apr. 10 "     " Multiple Regression [cont.]
Apr. 17 Howell chapter 16 The General Linear Model (GLM)
Apr. 24 "     " Analysis of Covariance



TBA FINAL EXAM 

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Links to David Howell's Statistics Pages for Our Text

Other Statistics and Research Methods Links

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Back to Kirkpatrick homepage