Structural Equation Modeling

MET516NFB Structural Equation Modeling

  • Topics

    Topics

     

  • Learning outcome

    Learning outcome

    After undertaking this course the student should be able to apply Structural Equation techniques, use modern statistical software and apply these on their research projects. They should also have acquired enough basic knowledge so that they on their own can extend their statistical "tool box.¿

     

  • Teaching

    Teaching

    Lectures and software demo.

    Course will be offered Fall 2012, dependent on teaching resources.

  • Requirements for course approval

    Requirements for course approval

     

  • Assessment

    Assessment

    Individual term paper.

  • Grading Scale

    Grading Scale

    Grading: Pass/Fail.

  • Computer tools

    Computer tools

    SPSS/ LISREL.

  • Semester

    Semester

     

     

  • Literature

    Literature

    Principles and Practice of Structural Equation Modeling. Rex B. Kline.

     

    Recommended reading

    Analysis of Multivariate Social Science Data. David J. Bartholomew, Fiona Steel, Irini Moustaki and Jane I. Galbraith

     

     

Overview

ECTS Credits
5
Teaching language
English
Semester
Spring, Autumn

Course responsible