TECHNICAL PAPERS
Mar 15, 2004

Lessons Learned in Designing Research Methodology in Field-Based Construction Research

Publication: Journal of Professional Issues in Engineering Education and Practice
Volume 130, Issue 2

Abstract

Research aiming at modeling construction knowledge often faces many problems because of the unique nature of each construction project and the lack of formal data-collection procedures within the industry. Therefore, designing a sound research methodology becomes very important for assuring the validity of this type of research. This paper summarizes the methodology used in the development of a model for evaluating bridge construction plans. It defines some validity threats facing such research efforts and provides some techniques for overcoming them. The case shows that the use of overlapping data-collection tools coupled with rigorous, stepwise analysis of each step in the model development is crucial for research validity.

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References

Acroyed, S., and Hughes, J. (1992). Data collection in context, Longman’s, London.
Black, T. R. (1993). Evaluating social science research: An introduction, Sage, Thousand Oaks, Calif.
Calder, B. J., Phillips, L. W., and Tybout, A. M. (1983). “Beyond external validity.” J. Consum. Res., 10(1).
Cook, T. D., and Campbell, D. T. (1979). Quasi-experimentation—Design and analysis issues for field settings, Rand McNally College, Chicago.
El-Diraby, T. E., and O’Connor, J. T.(2001). “Model for evaluating bridge construction plans.” J. Constr. Eng. Manage., 127(5), 399–405.
Yoon, K. P., and Hwang, C. L. (1995). Multiple attribute decision making: An introduction, Sage, Thousand Oaks, Calif.

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Go to Journal of Professional Issues in Engineering Education and Practice
Journal of Professional Issues in Engineering Education and Practice
Volume 130Issue 2April 2004
Pages: 109 - 114

History

Received: Dec 3, 2002
Accepted: May 14, 2003
Published online: Mar 15, 2004
Published in print: Apr 2004

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Tamer E. El-Diraby
Assistant Professor, Dept. of Civil Engineering, Univ. of Toronto, Toronto ON, Canada M5S 1A4.
James T. O’Connor, M.ASCE
C.T. Wells Professor of Project Management, Civil Engineering Dept., Univ. of Texas at Austin, Austin, TX 78712.

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