Measurement Modelling and Structural Equation Modelling with LISREL 05.08.2013-09.08.2013

Kurssikuvaus: The course combines theory and hands-on exercises on measurement and structural equations modelling with LISREL. Participants learn key principles but more importantly put these into practice by running real models on real data.

Pidempi kurssikuvaus: Name of course: Measurement Modelling and Structural Equation Modelling with LISREL

Time and place: Either Helsinki School of Economics or Swedish School of Economics and Busi-ness Administration (Hanken), June or August June 2013

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 con-ceptual and philosophical understanding necessary to design and conduct appropriate analysis programmes for their research objectives.

Teaching: 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

Evaluation: Exercise assignment(s) that are evaluated.

Credits: 5 ECTS

Target audience: 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.

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

Textbook: There are many basic texts available covering introductory structural equation model-ling. An indicative reading list will be provided closer to the date of tuition, to ensure the latest ma-terial is used, and the basic introductory text is:

Diamantopoulos, A., and J.A. Siguaw (2000), \"Introducing LISREL\". London: Sage.

Number of participants: 15-20

Instructors: Professor John W. Cadogan (Business School, Loughborough University, UK) & Pro-fessor Nick Lee (Aston Business School, Aston University, UK)

Coordinator: Professor Sanna-Katriina Asikainen & Post-Doctoral Researcher Anssi Tarkiainen, Lappeenranta University of Technology

Muuta: Applying for the course:
send email to This email address is being protected from spambots. You need JavaScript enabled to view it.
(doctoral students are asked to attach their research proposal to registration mail)
Deadline for applications 28.2.2013

Kurssin yhteyshenkilö: Anssi Tarkiainen

Yhteyshenkilön sähköpostiosoite: This email address is being protected from spambots. You need JavaScript enabled to view it.

Kurssin aikataulu: 05.08.2013-09.08.2013

Paikka: Helsinki

Kurssin laajuus opintopisteinä: 5

Kurssin tavoitteet: 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.

Kurssin suorittaminen: 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

Kurssin arviointi: Exercise assignment(s) that are evaluated.

Kohderyhmä: 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.

Kurssin pääluennoitsijana toimii: John W. Cadogan

Muut luennoitsijat: Nick Lee, Course assistant