MET522B Advanced Structural Equation Modeling

• Topics

  The course starts with an introduction to basic covariance algebra, followed by assessing model fit, sample size, and statistical power. Thereafter, the course addresses power analysis, and FIML and incomplete data.

  The main part of the course focuses on longitudinal confirmatory factor analysis. The participants will learn about configural invariance, weak and strong invariance, and multiple group models.

• Learning outcome

  Knowledge:

  • The participants are able to understand the concept of analyzing multivariate longitudinal data and understand the link between classical structural equation modeling (SEM) and longitudinal structural equation modeling.

  Skills:

  • The participants are able to use longitudinal structural equation modeling packages and apply these on research projects.

  General competence:

  • The participants are able to understand and interpret statistical analyses applying longitudinal structural equation modeling and to discuss and raise questions related to the use of such methods.

• Teaching

  Lectures and software exercises.

• Restricted access

  PhD candidates from NHH as well as PhD candidates from other institutions can take part in the course.

  Motivated master's students at NHH may be admitted after application, but are subject to the approval from the course responsible on a case by case basis. Individuals outside academia may be admitted after application, but are subject to the approval from the course responsible and the Vice Rector for Reserach on a case by case basis.

  There is no cap on the number of students.

  NHH Research Scholars should register for the course as recommended.

• Required prerequisites

  Multivariate Data Analysis.

• Assessment

  Individual term paper.

  Re-take is offered the semester after the course was offered for students who signed up for the initial evaluation

• Grading Scale

  Karakterskala A-F.

• Computer tools

  R/lavaan

• Literature

  Todd D. Little (2013):" Longitudinal Structural Equation Modeling"; The Guilford Press.

  Jöreskog, Olsson, and Wallentin (2016): Multivariate Analysis with LISREL. 1st ed. Springer International Publishing. A PDF will be provided.

  Recommended reading:

  Handouts in multivariate statistics (under preparation)