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Abowitz, D A and Toole, T M (2010) Mixed Method Research: Fundamental Issues of Design, Validity, and Reliability in Construction Research. Journal of Construction Engineering and Management, 136(01), 108–16.

Azhar, S, Ahmad, I and Sein, M K (2010) Action Research as a Proactive Research Method for Construction Engineering and Management. Journal of Construction Engineering and Management, 136(01), 87–98.

Bernold, L E and Lee, T S (2010) Experimental Research in Construction. Journal of Construction Engineering and Management, 136(01), 26–35.

Flood, I and Issa, R R A (2010) Empirical Modeling Methodologies for Construction. Journal of Construction Engineering and Management, 136(01), 36–48.

  • Type: Journal Article
  • Keywords: Empirical equations; Dynamic models; Algorithms; Data collection; Data analysis; Validation; Construction management; Empirical modeling; Structured model; Static model; Dynamic model; Development algorithm; Data collection; Data analysis; Model validatio
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000138
  • Abstract:
    The paper provides a review of empirical modeling and its application within construction engineering and management. The scope of application and trends in use of this approach are first assessed, and the potential for its further development is identified. This is followed by an examination of the key components of empirical modeling, namely: the structure and operation of the model and the scheme used in its development. The paper then provides a rigorous methodology that must be followed to ensure the validity and value of the end model, covering the steps: strategizing; data collation and assessment; model development; model evaluation and final selection; final validation; and implementation. The methodology is designed to cater for all forms of empirical modeling including the procedurally more demanding development algorithms that have become available in recent years, such as simulated evolution. Overall, the paper is designed to provide researchers embarking on an empirical modeling study with an overview of when it is appropriate to use this approach, what type of system to adopt, and how to ensure development of a successful end product.

Gibson, G E and Whittington, D A (2010) Charrettes as a Method for Engaging Industry in Best Practices Research. Journal of Construction Engineering and Management, 136(01), 66–75.

Green, S D, Kao, C and Larsen, G D (2010) Contextualist Research: Iterating between Methods While Following an Empirically Grounded Approach. Journal of Construction Engineering and Management, 136(01), 117–26.

Hallowell, M R and Gambatese, J A (2010) Qualitative Research: Application of the Delphi Method to CEM Research. Journal of Construction Engineering and Management, 136(01), 99–107.

Kandil, A, El-Rayes, K and El-Anwar, O (2010) Optimization Research: Enhancing the Robustness of Large-Scale Multiobjective Optimization in Construction. Journal of Construction Engineering and Management, 136(01), 17–25.

Leicht, R M, Hunter, S T, Saluja, C and Messner, J I (2010) Implementing Observational Research Methods to Study Team Performance in Construction Management. Journal of Construction Engineering and Management, 136(01), 76–86.

Lucko, G and Mitchell, Z W (2010) Quantitative Research: Preparation of Incongruous Economic Data Sets for Archival Data Analysis. Journal of Construction Engineering and Management, 136(01), 49–57.

Lucko, G and Rojas, E M (2010) Research Validation: Challenges and Opportunities in the Construction Domain. Journal of Construction Engineering and Management, 136(01), 127–35.

Martinez, J C (2010) Methodology for Conducting Discrete-Event Simulation Studies in Construction Engineering and Management. Journal of Construction Engineering and Management, 136(01), 3–16.

Phelps, A F and Horman, M J (2010) Ethnographic Theory-Building Research in Construction. Journal of Construction Engineering and Management, 136(01), 58–65.