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Aranda-Mena, G and Gameson, R (2012) An alignment model for the research higher degree supervision process using repertory grids - reflections on application in practice in built environment research. Construction Economics and Building, 12(03), 66-81.

Best, R (2012) International comparisons of cost and productivity in construction: a bad example. Construction Economics and Building, 12(03), 82-88.

Best, R and Purdey, B (2012) Assessing occupant comfort in an iconic sustainable education building. Construction Economics and Building, 12(03), 55-65.

Carson, C and Abbott, M (2012) A review of productivity analysis of the New Zealand construction industry. Construction Economics and Building, 12(03), 1-15.

de Valence, G (2012) A theory of construction management?. Construction Economics and Building, 12(03), 95-100.

Konanahalli, A, Oyedele, L, Coates, R, von Meding, J and Spillane, J (2012) International projects and cross-cultural adjustments of British expatriates in Middle East: a qualitative investigation of influencing factors. Construction Economics and Building, 12(03), 31-54.

Oke, A E, Ogunsami, D R and Ogunlana, S (2012) Establishing a common ground for the use of structural equation modelling for construction related research studies. Construction Economics and Building, 12(03), 89-94.

  • Type: Journal Article
  • Keywords: Construction; construction research; goodness-of-fit measures; software programs; structural equation model; structural equation modelling.
  • ISBN/ISSN: 1837-9133
  • URL: https://doi.org/10.5130/AJCEB.v12i3.2658
  • Abstract:
    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.

Thangaraj, R K and Chan, T K (2012) The effects of the global financial crisis on the Australian building construction supply chain. Construction Economics and Building, 12(03), 16-30.