Time and place: 16.5.-20.5.2022, Hanken, Helsinki
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
Prerequisites: Students must have an understanding of basic quantitative research methods, and statistical analysis. An understanding of multiple regression and factor analysis is essential.
Admittance: 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.
Instructors: Professor John W. Cadogan (Business School, Loughborough University, UK) & professor Nick Lee (Warwick Business School, UK)
Course coordinator and contact information: Associate professor Sanna-Katriina Asikainen, sanna-katriina.asikainen@aalto.fi +358 50 475 0335
How to apply: Fill in the attached ‘KATAJA course application form’ and send it no later than 1 April 2022 to Sanna-Katriina Asikainen by email ( sanna-katriina.asikainen@aalto.fi). Please, remember to indicate your motivation and the phase of your doctoral studies properly. The acceptance will be notified soon after the DL for the registration.
Course application form:
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