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contributor authorJiali Liu
contributor authorArash Shahi
contributor authorCarl T. Haas
contributor authorPaul Goodrum
contributor authorCarlos H. Caldas
date accessioned2017-05-08T22:13:32Z
date available2017-05-08T22:13:32Z
date copyrightOctober 2014
date issued2014
identifier other39903614.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/74240
description abstractChoosing validation methods in construction research is challenging. This study explores trends in the use of validation methods and their impacts based on a statistical analysis of a sample set of 365 research articles on construction productivity. This sample set provides a balance of the breadth and cohesion required for significant comparisons and the temporal depth required for longitudinal analysis. The contributions of this research include (1) a critical review of the validation methodologies that can be used for research projects in construction engineering and management, (2) an investigation of the statistical relationship between validation methods and the impact in terms of citations of research over time in different source categories, and (3) statistically significant observations over the preceding thirty years of the increased use of functional demonstration as a validation methodology and the decreased existence of unclear validation. These results may be used in the future to influence the choice of validation methods to increase the impact of construction productivity research.
publisherAmerican Society of Civil Engineers
titleValidation Methodologies and Their Impact in Construction Productivity Research
typeJournal Paper
journal volume140
journal issue10
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0000882
treeJournal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 010
contenttypeFulltext


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