Course content

The course is part 2 of the analysis of problems that can be elucidated by quantitative data and has the same requirements for prior knowledge as part 1, but it would be an advantage if participants have a somewhat broader understanding of the general linear model than is required for participation in part 1 - PSY9170.

Learning outcome

Day 1 (5 hours): Exploratory factor analysis with emphasis on principal component analysis.

Based on a classical test psychology understanding of reliability, the relationship between concepts and indicators is discussed. Empirical evidence of uni-dimensionality and multi-dimensionality is illustrated by concrete examples. Examples of the use of principal component analysis for "data reduction" and visualization of complex relationships between observed variables are also reviewed.

Day 2 (5 hours): Exploratory factor analysis with emphasis on classical factor analysis.

Here, greater emphasis is placed on theoretical assumptions related to latent phenomena and indicators. The difference between principal component analysis and factor analysis is discussed.

Day 3 (5 hours): A brief introduction to structural modeling.

Similar issues as discussed in part 1 of the course are addressed again (multivariate models with underlying and intervening variables and control for third variables), but now with a focus on latent variables. Measurement models and causal models are analyzed in the same model (SEM).

Admission to the course

The course is aimed at Ph.d. candidates. The Department of Psychology's own Ph.d. candidates will have first priority, then Ph.d. candidates from other institutions, then other applicants.

Ph.d. candidates from The Department of Psychology register for the course via StudentWeb. Please contact the administration if you experience problems registering.

Other applications are made via this online form.

The registration period is stated in the online form and you will receive an email shortly after the application deadline if you are offered a place on the course.

Formal prerequisite knowledge

Admission to a Ph.d. program.

It is recommended that candidates have already taken PSY9170 - Qualitative Analysis I.?

Overlapping courses