Measurement Modelling and Structural Equation Modelling with LISREL

Time and place: 22-26 July, 2024 at Hanken School of Economics

Learning goal and objectives:

The course objective is to enable students to make positive contributions to extant knowledge in their field by enhancing their ability to a) interpret existing research findings, and also b) to conduct rigorous structural equation modelling research themselves. This objective is achieved through two aims: 1) to give students the technical skills to understand and conduct basic and advanced analysis using structural equation modelling techniques; 2) to give students the conceptual and philosophical understanding necessary to design and conduct appropriate analysis programmes for their research objectives.

Instruction and examination:

5 days (6 hours per day, in total 30 hours) of intensive teaching, including lectures, practical exercises with LISREL (and SPSS) software, and targeted consultation and problem-solving sessions

Credits: 5 ECTS

Grading: 1-5


Students must have an understanding of basic quantitative research methods, and statistical analysis. An understanding of multiple regression and factor analysis is essential.


PhD. students in all fields of economics and business studies, (e.g. in marketing, management, accounting, etc.) who are handling research problems involving quantitative survey data. However, in student selection the priority will be given to doctoral students who are majoring in marketing, international business or management.

Please submit your application (motivation letter max 1 page, CV, and doctoral study research plan max 10 pages) by June 30th, 2024 to course coordinator.  The participants will be selected and notified for the admission on the basis of KATAJA’s general guidelines by July 2nd, 2024.

Instructors: Professor John W. Cadogan (University of Leicester, UK) & professor Nick Lee (Warwick Business School, UK)

Course coordinator and contact information: Associate professor Sanna-Katriina Asikainen, +358 50 475 0335