Multivariate Analysis (PSY 444)

Instructor: W. Joel Schneider
Office: DeGarmo 456
Phone: 438-8410
Office hours: Mondays & Wednesdays 11am–noon, and by appointment
Semester: Fall 2015
Times: MW 12:35–1:50pm

Course Objectives


These books are freely available for digital download at Milner Library:

Harlow, L. L. (2014). The Essence of Multivariate Thinking: Basic Themes and Methods (2nd ed.). New York: Routledge.

Ho, R. (2014). Handbook of Univariate and Multivariate Data Analysis with IBM SPSS (2nd ed.). Boca Raton, FL: Taylor & Francis Group.

Rencher, A. C. & Christensen, W. F. (2012). Methods of Multivariate Analysis (3rd ed.). Hoboken, NJ: Wiley.

Useful Resources (not free)

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.

Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon.

Schumacker, R. E. (2015). Using R With Multivariate Statistics. SAGE Publications.



Class Participation

Homework Exercises


The midterm and final exams will involve a closed-notes portion in which no computer will be allowed and an open-notes portion in which a computer will be required.

Grading Procedure

All pass/fail assignments must be passed to receive a grade in the course. With instructor permission, failed assignments may be attempted a second time.

Homework Exercises 400 points
Midterm Exam 300 points
Final Exam 300 points
Total 1000 points

Grades are assigned in the traditional manner.

Final Grade
Performance Grade
900-1000 A
800-899 B
700-799 C
600-699 D
0-599 F

Special Accommodations

If you need a special accommodation to fully participate in this class, please contact Disability Concerns at 438-5853 (voice), 438-8620 (TDD).

Academic Integrity

Plagiarizing and cheating on exams and other assignments are not tolerated. Any student exhibiting academic dishonesty will receive an F in the course and will be referred for disciplinary action. Disciplinary action may include expulsion from the university.


The best way to reach me is by email or in person, before or after class. I do not check my office telephone messages nearly as often as I check my email. I may, from time to time, email you about various matters.

Additional information

Tentative Course Outline (Incomplete)
Week Topics Readings
Aug 17 Introductions
Aug 19 Harlow Ch. 1
Aug 24 t-Tests
Harlow Ch. 2
How not to worry about APA style
Aug 26 ANOVA
Harlow Ch. 4
Aug 31

HW 1 Due

Sep 2 Multiple Regression
Harlow Ch. 3
Sep 9

HW 2 Due

MANOVA Harlow Ch. 5
Sep 28 Hotelling's T2
Oct 5 Matrix Algebra In R
Oct 10

HW 3 Due

Oct 14 Midterm Study Guide
Oct 26 Canonical Correlation Analysis
November 2

HW 4 Due

Discriminant Function Analysis
Harlow Ch. 6
November 11 Multidimensional Scaling
Harlow Ch. 6
November 16 Cluster Analysis
Harlow Ch. 6
November 18

HW 5 Due

December 2

HW 6 Due

Dec. ? Final Study Guide