Multivariate Statistical Analysis

Korea University

Course Description

  • Course Name

    Multivariate Statistical Analysis

  • Host University

    Korea University

  • Location

    Seoul, South Korea

  • Area of Study

    Computer Programming, Statistics

  • Language Level

    Taught In English

  • Prerequisites

    Course Objectives
    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.

    Textbook
    Lattin, J., Carroll, J. D., & Green, P. E. "Analyzing Multivariate Data," Brooks/Cole (ISBN 0-534-
    34974-9).

  • Course Level Recommendations

    Upper

    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.

    Hours & Credits

  • Credits

    3
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

Course Disclaimer

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.