Matching Items (6)
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- All Subjects: Construction Management
- Creators: Sullivan, Kenneth
Description
Random Forests is a statistical learning method which has been proposed for propensity score estimation models that involve complex interactions, nonlinear relationships, or both of the covariates. In this dissertation I conducted a simulation study to examine the effects of three Random Forests model specifications in propensity score analysis. The results suggested that, depending on the nature of data, optimal specification of (1) decision rules to select the covariate and its split value in a Classification Tree, (2) the number of covariates randomly sampled for selection, and (3) methods of estimating Random Forests propensity scores could potentially produce an unbiased average treatment effect estimate after propensity scores weighting by the odds adjustment. Compared to the logistic regression estimation model using the true propensity score model, Random Forests had an additional advantage in producing unbiased estimated standard error and correct statistical inference of the average treatment effect. The relationship between the balance on the covariates' means and the bias of average treatment effect estimate was examined both within and between conditions of the simulation. Within conditions, across repeated samples there was no noticeable correlation between the covariates' mean differences and the magnitude of bias of average treatment effect estimate for the covariates that were imbalanced before adjustment. Between conditions, small mean differences of covariates after propensity score adjustment were not sensitive enough to identify the optimal Random Forests model specification for propensity score analysis.
ContributorsCham, Hei Ning (Author) / Tein, Jenn-Yun (Thesis advisor) / Enders, Stephen G (Thesis advisor) / Enders, Craig K. (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2013
Description
Owner organizations in the architecture, engineering, and construction (AEC) industry are presented with a wide variety of project delivery approaches. Implementation of these approaches, while enticing due to their potential to save money, reduce schedule delays, or improve quality, is extremely difficult to accomplish and requires a concerted change management effort. Research in the field of organizational behavior cautions that perhaps more than half of all organizational change efforts fail to accomplish their intended objectives. This study utilizes an action research approach to analyze change message delivery within owner organizations, model owner project team readiness and adoption of change, and identify the most frequently encountered types of resistance from lead project members. The analysis methodology included Spearman's rank order correlation, variable selection testing via three methods of hierarchical linear regression, relative weight analysis, and one-way ANOVA. Key findings from this study include recommendations for communicating the change message within owner organizations, empirical validation of critical predictors for change readiness and change adoption among project teams, and identification of the most frequently encountered resistive behaviors within change implementation in the AEC industry. A key contribution of this research is the recommendation of change management strategies for use by change practitioners.
ContributorsLines, Brian (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2014
Description
The discipline of continuing professional development (CPD) is well defined and established within a variety of industries, such as medical, legal, and financial. The built environment is a less defined and mature industry with respect to educational pathways and professional education, with no uniform structure. Occupational licensing, such as registered nurses, certified professional accountants, and others are well known within both their industries and the public. Additionally, occupational core-competencies are well established. Planning is a core skill set within the built environment and construction management. Definitions of the term “planning” vary quite broadly across the built environment, but generally includes activities such as risk identification, scope identification, and scheduling. Understanding how professionals in the built environment learn to plan is critical to meeting CPD needs for planning skills and the ability of a professional to “plan” effectively. Many planning tools and software have been developed, but often rely on an individual professional’s personal experiences and abilities. Limited literature in the field of professional education in the built environment has left a gap on the topic of how to train professionals in planning competencies. Survey results indicate that current training is not meeting the expectations of professionals, as only 16 percent of professionals are trained how to plan using their preferred method of learning. While on-the-job training is the primary format, the most preferred format is internal company training, but only 54 percent of companies provide this format. Mann-Whitney U and Kruskal Wallis tests were conducted and revealed that organizations with internal training programs have higher employee satisfaction with their organization’s planning process. Further, organizations with internal training programs are seen as having a more formal internal planning process. Research is needed to develop CPD within construction management and provide the foundation upon which a professional education structure can be created. An andragogically-centered schema for a heuristic approach to construction CPD is developed and tested on a seminar for pre-project planning. The full instructional design of the seminar using the model is disclosed and seminar results showed positive results and participants achieved high levels of learning.
ContributorsHurtado, Kristen (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2018
Description
The higher education sector is always changing and seeks for robust methodologies to make education more effective and produce higher quality products which are the future professionals. While each student has different preference in learning, numerous forms of instructional strategies are adopted to engage students in varied ways. Existing literature has studied the impacts of various teaching strategies on students’ performance. Previous studies did not figure out if personal characteristics such as honestly, emotionality, etc. have any impacts on the students’ academic performance. This master thesis uses the detailed information gathered through surveying construction students and analyses such data to determine the relationship between various personal factors and understand if there is any relation between students’ academic performance and personal characteristics. This work has used HEXACO factor scales and Emotional Intelligence (EI) as a basis of its analysis. Results of this analysis indicated that there is no significant correlation between students’ academic performance and HEXACO and EI criteria. Although the analysis process tried to provide the most accurate and robust results, but findings could potentially be affected by a number of factors such as excluding some survey responses from data analysis due to confusing responses or being outlier.
ContributorsDadvar, Atefeh (Author) / Sullivan, Kenneth (Thesis advisor) / Smithwick, Jake (Committee member) / Lines, Brian (Committee member) / Arizona State University (Publisher)
Created2017
Description
Public construction projects in Saudi Arabia have been experiencing performance issues for the past 30 years. There have been many research efforts and publications identifying the problem and potential causes, however, there have been minimal efforts identifying how to mitigate the problem and testing to validate proposed solutions. A literature search has shown that the academic research has had minimal impact in assisting the construction industry to improve its performance. This dissertation aimed to evaluate the impact of construction management research in Saudi construction industry (SCI), and to investigate barriers that hinder the diffusion of implementing the research outcomes in the construction sector in order to develop a research roadmap to bridge the gap between academic research and practice, using the experience of other organizations that have a successful experience in developing the impact of construction management research in the construction industry. In order to achieve the aim of the study, five main objectives were set up which are: evaluate the impact of construction management research in SCI, identify the barriers that affect the implementation of construction management research in SCI, develop a research roadmap to bridge the gap between the research and practice, validating the proposed solution, and proposed implementation plan and review the result from the implementation. A literature research was performed, using 5 academic databases, identifying the impact that R&D has had on the SCI. A questionnaire was also created surveying both researchers and industry professionals. The results show evidence that the current R&D process in Saudi Arabia is not helping the SCI to increase their performance, and needs to be improved. This study provides a potential solution, and an action plan that mirrors one of the most successful research and development programs in the construction industry in the world [+1915 tests, six different countries, 31 states in the U.S. and 98% customer satisfaction]. The solution proposed in this dissertation is unique to the strengths and weaknesses of the research and development programs at universities and research centers in Saudi Arabia. This study is the first study of its kind in Saudi Arabia.
ContributorsAlhammadi, Yasir (Author) / Kashiwagi, Dean (Thesis advisor) / Badger, William (Committee member) / Sullivan, Kenneth (Committee member) / Arizona State University (Publisher)
Created2017
Description
Many public agencies and/or private owners have no standards that help them to select the most suitable delivery method for their capital projects; hence, in some cases, this results in selecting the inappropriate project delivery method. This adversely impacts the project performance and leads to many negative consequences; starting with schedule growth, cost overrun, and may end up in an epic failure of the project. This research mainly focuses on developing a guideline to help owners make the decision on selecting the most appropriate delivery method for their capital projects. This research goes through three stages: Stage 1 - An extensive literature review of past research is conducted to conclude the selection factors considered in the decision-making process and the decision analysis technique and the project delivery methods; Stage 2 - This stage includes building up the selection model and setting out its guidelines; Stage 3 - This is the final stage of the research thread and includes the validation of the selection model through applying this model on some case study projects by industry practitioners, then evaluating the final results. The owner’s guideline for project delivery method selection, developed within this research, is designed to help owners increase the project success likelihood by selecting the suitable project delivery methods during the pre-construction phase (planning phase of the project life cycle).
ContributorsSallam, Omar Mohamed (Author) / Sullivan, Kenneth (Thesis advisor) / Hurtado, Kristen (Committee member) / Kutz, Barry (Committee member) / Arizona State University (Publisher)
Created2021