Advanced Longitudinal Analyses using Structural Equation Modeling, 7,5 Higher Education Credits

NB! Please, read about the specific course demands in the syllabus.

Course syllabus valid from January 21st, 2015.

This spring, Örebro University, Sweden, hosts a course on applying longitudinal analysis. The main aim of this course is to review the theoretical background of developmental analyses and application of advanced longitudinal techniques with Structural Equation Modeling (SEM). The emphasis will be on frequently used longitudinal techniques and how to use them to get more insight into causal research questions.

The course will be composed of two integral parts: Theory and Application (using Mplus software). Participants are required to have acquired basic knowledge on Structural Equation Modeling and successfully attended a course on SEM previously. Specific requirements can be found in the course syllabus.

The preliminary schedule is found below, with classes from 9.00 to 17.00. Participants are required to have SPSS and Mplus installed on their computer, these will not be provided. Participants will use data provided during the seminars, yet they may use the last day to discuss their own data and analyses.

Overview of the course:

26th of February: Methods of Relative Change.

The first day is aimed to give participants a comprehensive review of analyses regarding relative change, including auto-regressive change and cross-lagged panel analysis. The focus will be on discussing implications of these analyses and drawing conclusions from example results. Participants will learn how to apply cross-lagged panel analysis.

27th of February: Methods of Absolute Change.

Analyses that deal with absolute change, including Latent Change Modeling and Latent Growth Curve Modeling will be discussed the second day. Participants will learn to apply Latent Growth Curve Modeling.

2nd of March: Latent Class Analysis and General Growth Mixture Modeling.


The third day is aimed to give the participants an introduction in Latent Class Analysis and General Mixture Modeling. Participants will work with several practical examples to learn to apply both techniques using longitudinal data.

3rd of March: Applying SEM in groups.

The fourth day is aimed to give the participants the opportunity to work on two assignments in groups of two to three. Assignments concern applying both longitudinal confirmatory factor analysis and cross-lagged panel analysis.

4th of March: Individual Sessions.

The fifth and final day consists of giving individual feedback to each participant. Participants can bring their own data and discuss their individual problems and questions.

All lessons take place in rooms in the Technology Building. Buildings

Application, not later than: 6th of February

A maximum of 15 participants can be registered for this course, early registration is advised.

Updated: 2015-01-30

Editor: Kristina Lexell