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Multivariate Analysis for Business Economics

BUS449 Multivariate Analysis for Business Economics

  • Topics

    Topics

    Multivariate statistical methods: Mainly Cluster analysis, multidimensional scaling, principal components, regression, factor analysis. Introduction to how to write a scientific paper.

  • Learning outcome

    Learning outcome

    KNOWLEDGE - The candidate...

    • will be familiar with the main multivariate statistical methods.
    • will have working knowledge of at least one of R and SPSS.
    • will have knowledge regarding the structure and content of a scientific paper.

    SKILLS - The candidate...

    • will be able to perform statistical analysis on multivariate data using R or SPSS.
    • will be able to make an appropriate choice of statistical method.
    • will be able to write a scientific paper.

    COMPETENCE - The candidate...

    • should be able to perform an appropriate statistical analysis on multivariate data using R or SPSS.
    • should be able to communicate the result of an empirical analysis in the form of a scientific paper.

  • Teaching

    Teaching

    Lectures and computer classes

  • Required prerequisites

    Required prerequisites

    Introductory course in statistics or econometrics

  • Requirements for course approval

    Requirements for course approval

    Two out of three homework assignments have to be approved. The homework assignments should be clearly written as a small report such that it is easy for a fellow student to understand the purpose, what has been done and the results. Grading: Approved-not approved

  • Assessment

    Assessment

    The final exam is a term paper that should be written as a scientific paper with introduction, conclusions and the relevant sections in between. The handling time between topic assignment to submission is 30 days.

  • Grading Scale

    Grading Scale

    A-F

  • Computer tools

    Computer tools

    SPSS or R

  • Semester

    Semester

    Autumn

  • Literature

    Literature

    Analysis of Multivariate Social Science Data (2008), with D.J Bartholomew, F. Steele, J. Galbraith. Second edition. Chapman and Hall/CRC.
    Handouts and papers from scientific journals

Overview

ECTS Credits
7.5
Teaching language
 English
Semester
Autumn

Course responsible

 Johan Lyhagen