Modelling with LISREL: A guide for the uninitiated
- 1 April 1994
- journal article
- research article
- Published by Taylor & Francis in Journal of Marketing Management
- Vol. 10 (1-3) , 105-136
- https://doi.org/10.1080/0267257x.1994.9964263
Abstract
During the last decade, structural equation models with unobservable variables and measurement error have been increasingly applied in the marketing discipline. By far, the most widely used approach has been the covariance structure modelling framework implemented through the LISREL computer programme. However, for many marketing academics LISREL modelling is still something of a mystery. This appears to be partly due to the mathematical complexity of most methodological articles dealing with the LISREL model and partly due to the not‐so‐user‐friendly documentation accompanying the programme. Against this background, the present paper provides a non‐technical introduction into the basic concepts and issues of LISREL modelling, bearing the needs of a potential user in mind. To this end, an eight‐step procedure is followed, encompassing all stages associated with the formulation and testing of a set of hypotheses using the LISREL approach. An illustrative model is used as an example throughout the discussion and an effort is made to draw attention to the potential limitations/problems associated with the approach.Keywords
This publication has 39 references indexed in Scilit:
- On the use of structural equation models in experimental designs: Two extensionsInternational Journal of Research in Marketing, 1991
- Determinants of the new product screening decision A structural model analysisInternational Journal of Research in Marketing, 1988
- Structural equation modeling in practice: A review and recommended two-step approach.Psychological Bulletin, 1988
- Practical Issues in Structural ModelingSociological Methods & Research, 1987
- Covariance Structure Modeling and Measurement Issues: A Note on "Interrelations among a Channel Entity's Power Sources"Journal of Marketing Research, 1987
- Salesforce SocializationJournal of Marketing, 1986
- The use of incremental goodness of fit indices in structural equation models in marketing researchJournal of Business Research, 1984
- Unidimensional measurement and structural equation models with latent variablesJournal of Business Research, 1984
- The unmeasured variables problem in path analysis.Journal of Applied Psychology, 1980
- Unobservable Variables in Structural Equation Models with an Application in Industrial SellingJournal of Marketing Research, 1979