Multivariate Statistical Analysis
Seoul, South Korea
Area of Study
Computer Programming, Statistics
Taught In English
The textbook for this course is organized into three parts. By way of introduction,
Part I (Chapters 1 through 3) provides a general overview of multivariate methods, some helpful
background on vectors and matrices and their geometrical interpretation, and a review of multiple
regression analysis. Part II (Chapters 4 through 8) focuses on the analysis of independence, both among
variables and among objects. Part III (Chapters 9 through 13) covers canonical correlation and
methods used in the analysis of dependence, including structural equation models with latent variables,
logit choice models, and special cases of the general linear model. However, the course will cover the
selected materials from the textbook.
After completing this course, students should be able to:
1. Have some intuition as to how the multivariate techniques work.
2. Be able to apply various statistical techniques for multivariate data analysis.
3. Be able to interpret the results of the multivariate data analysis.
4. Use software packages to analyze multivariate data.
5. Refer to a more advanced multivariate data analysis.
Lattin, J., Carroll, J. D., & Green, P. E. "Analyzing Multivariate Data," Brooks/Cole (ISBN 0-534-
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
Courses and course hours of instruction are subject to change.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.