This course introduces the fundamental principles of latent growth analysis - a powerful method for analysing longitudinal data. 

Latent Growth Curve Models (LGCM) allow each case in a sample to have individual trajectories ('latent curves' or 'growth curves') representing change over time. In addition to mapping these trajectories, LGCM allows researchers to examine the determinants of these trajectories or to relate the trajectories of one variable to those of another. 

The approach to LGCM in this course draws on the strengths of structural equation models (SEM), and the primary goal is to introduce participants to the theory and application of LGCM. 

The seminar uses Mplus or/and Amos software to demonstrate the implementation of latent growth modelling and is run by Dr Daniel Boduszek who has used latent growth modelling techniques in his research. The Quantitative Research Methods Training Unit (QRM-TU) will also invite Associate Members to lead the training.

Course outline

  1. Why and when Latent Growth Curve Models are used
  2. Basic principles of Latent Growth Curve Models
  3. Description of research questions that are well suited for the Latent Growth Curve Models 
  4. Latent Growth Curve Models in Mplus and/or Amos 
  5. Latent Growth Curve Models with covariates 
  6. Interpretation and reporting the Mplus and/or Amos output for publication purpose
  7. Practical session

Who should attend?

The course is designed for researchers and postgraduate students who are engaged in research with longitudinal data. The prerequisite for taking this seminar is basic knowledge of repeated measure design. Researchers from economics, public health, epidemiology, psychology, sociology, social work, medical research, education, and similar disciplines are welcome.

Why Quantitative Research Methods Training Unit?

  • We know that learning statistical analysis can be a daunting and unpleasant experience at times. This is why we present complicated procedures in a simple way, avoiding jargon and confusing mathematical formulas at all costs! We teach researchers everything they need to know about latent growth modelling in order to finish their projects in a relaxed and friendly atmosphere where they are helped and encouraged every step of the way.
  • The uniqueness of Quantitative Research Methods Training Unit is the focus on the practical application of latent growth modelling, not mathematical procedures.
  • Dr Daniel Boduszek and Associate Members of QRM-TU have an extensive experience in application of latent growth analysis which is demonstrated by their research outputs.
  • The course is delivered by means of lectures and practical sessions. All analyses are conducted under supervision of Dr Daniel Boduszek and three tutors (Dr Susie Kola, Dr Katie Dhingra, and Ms Kathryn Sharratt) to maximise learning outcomes (we offer a 1:5 instructor student ratio). Each course concludes with a question and answer session, and there is always the opportunity for participants to discuss their own studies with the tutors.


The Quantitative Research Methods Training Unit (QRM-TU), Ramsden Building, University of Huddersfield.

Book now

To find out when the next training session will be held, please visit our online store where you can also book your place.