Establishing a common ground for the use of structural equation modelling for construction related research studies

Ayodeji Emmanuel Oke, Deji Rufus Ogunsami, Stephen Ogunlana


The use of structural equation modelling (SEM) for research studies in construction related field has been on the increase over the years. The essence of this study is not to compare the level of usage of SEM with other modelling methods, neither is it to examine its extent of adoption in construction management - as this has been researched in previous works - but to arrive at a common ground for future construction related research works, based on the findings and recommendations from existing studies on the subject of SEM. Research materials within and outside the field of construction management were reviewed and it was discovered that SEM using AMOS (covariance approach) is the most appropriate method for construction research studies. This is not just because it is the most available of the software programs, but because of the numerous benefits and advantages highlighted from previous studies. The study also recommended appropriate sample size as well as cut-off value for various required goodness-of-fit tests of SEM model.


Construction; construction research; goodness-of-fit measures; software programs; structural equation model; structural equation modelling.

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Bagozzi, R. P. & Yi, Y. (2012) 'Specification, evaluation, and interpretation of structural equation models', Journal of the Academy of Marketing Science, 40, 8-34

Barrett, P. (2007) 'Structural Equation modelling: adjudging model fit', Personality and Individual Differences, 42, 815-824

Bryne, B. M. (2010) Structural Equation Modelling with AMOS: Basic Concepts, Applications and Programming, (2nd ed.), Routledge, Taylor and Francis Group, New York.

Chinda, T. & Mohamed, S. (2008) 'Structural equation model of construction safety culture', Engineering, Construction and Architectural Management, 15 (2), 114-131

Doloi, H, Iyer, K. C. & Sawhney, A. (2010) 'Structural equation model for assessing impacts of contractor's performance on project success', International Journal of Project Management, 29, 687-695

Gorsuch, R. L. (1983) Factor Analysis, Lawrence Erlbaum, Hillsdale, New Jersey

Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (2008) Multivariate Data Analysis, (7th ed.). Prentice Hall Publisher, Upper Saddle River, New Jersey

Harris, M. & Schaubroeck, J. (1990) 'Confirmatory modelling in organizational behaviour/human resource management: issues and applications', Journal of Management, 16 (2), 337-360

Henseler, J. (2011) 'Why generalized structured component analysis is not universally preferable to structural equation modelling', Journal of the Academy of Marketing Science, 40, 402-413

Hwang, H., Malhotra, N. K., Kim, Y., Tomiuk, M. A., & Hong, S. (2010) 'A comparative study on parameter recovery of three approaches to structural equation modelling', American Marketing association, 48 (August), 699-712

Jin, X.H., Doloi, H. & Gao, S.Y. (2007) 'Relationship-based determinants of building project performance in China', Construction Management and Economics , 25, 297â304

Kline, R. B. (2010) Principles and Practice of Structural Equation Modelling. (3rd ed.), The Guilford Press, New York

Lucko, G. & Rojas, E. M. (2010) 'Research validation: challenges and opportunities in the construction domain', Journal of Construction Engineering and Management, 136 (1), 127-135

Molenaar, K, Washington, S. & Diekmann, J. (2000) 'Structural equation model of construction contract dispute potential', Journal of Engineering and Management, 126 (4), 268-277

Preacher, K. J. & Merkle, E. C. (2012) 'The problem of model selection uncertainty in structural equation modelling', Psychological Methods, 17 (1), 1-14

Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012) 'A critical look at the use of PLS-SEM in MIS Quarterly', MIS Quarterly, 36 (1), 3-16

Roberts, N, Thatcher, J. B. & Grover, V. (2010) 'Advancing operations management theory using exploratory structural equation modelling techniques', International Journal of Production Research, 48 (15), 4329-4353

Singh, R. (2009) 'Does my structural model represent the real phenomenon?: a review of the appropriate use of structural equation modelling (SEM) model fit indices', The Marketing Review, 9 (3), 199-212

Yuan, K.., Wu, R., & Bentler, P. M. (2010) 'Ridge structural equation modelling with correlation matrices for ordinal and continuous data', British Journal of Mathematical and Statistical Psychology, 64, 107-133