Author: Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 30
Book Description
Assumptions and Schedule Analysis
Author: Assumption-Based Planning
Author: James A. DewarPublisher: Cambridge University Press
ISBN: 9780521001267
Category : Business & Economics
Languages : en
Pages : 270
Book Description
Table of contents
Project Risk Management
Author: Michael M. BissonettePublisher: Project Management Institute
ISBN: 1628251409
Category : Business & Economics
Languages : en
Pages : 345
Book Description
It's not exactly news that putting the concepts of risk management into action can help make a project more successful. In fact, a solid understanding of risk management is a vital component of any project management professional's training, regardless of the industry in which he or she might work. In today's fast-paced, constantly changing, and extremely competitive environment, risk management is more important than ever for businesses hoping to find their footing in the global market. In Project Risk Management: A Practical Implementation Approach, author Michael M. Bissonette not only provides insights into the best ways to implement the traditional techniques of risk management, but also explores innovative new methods that can help modern organizations build their culture, improve financial performance, and ultimately achieve greater success in all of their projects.
Delay Analysis in Construction Contracts
Author: P. John KeanePublisher: John Wiley & Sons
ISBN: 111863117X
Category : Law
Languages : en
Pages : 290
Book Description
The most significant unanticipated costs on many construction projects are the financial impacts associated with delay and disruption to the works. Assessing these, and establishing a causal link from each delay event to its effect, contractual liability and the damages experienced as a direct result of each event, can be difficult and complex. This book is a practical guide to the process of delay analysis and includes an in-depth review of the primary methods of delay analysis, together with the assumptions that underlie the precise calculations required in any quantitative delay analysis. The techniques discussed can be used on projects of any size, under all forms of construction contract, both domestic and international. The authors discuss not only delay analysis techniques, but also their appropriateness under given circumstances, demonstrating how combined approaches may be applied where necessary. They also consider problematic issues including ‘who owns the float’, concurrent delay, early completion programmes, and disruption. The book has been brought fully up to date, including references to the latest publications from the CIOB, AACEI and SCL, as well as current case law. Broad in scope, the book discusses the different delay analysis approaches likely to be encountered on national and international projects, and features practical worked examples and case studies demonstrating the techniques commonly used by experienced practitioners. This is an invaluable resource to programmers and schedulers, delay analysts, contractors, architects, engineers and surveyors. It will also be of interest to clients’ professional advisors managing extension of time or delay claims, as well as construction lawyers who require a better understanding of the underlying assumptions on which many quantitative delay analyses are based. Reviews of First Edition "John Keane and Anthony Caletka are pukka analysts in that tricky area of delays, programming and extension of time. I highly recommend their book Delay Analysis in Construction Contracts. Buy the book." (Building Magazine, February 2009) "The book′s stated purpose is to provide a practical guide for those interested in schedule delay analysis. It provides a good in–depth review of the most common delay analysis techniques.... An excellent book, full of practical tips for the reader and very timely in its publication. It is well worth the cost and a good read for anyone involved in schedule delay analysis." (Cost Engineering, February 2009) It achieves in spades its stated aim of being a practical guide for contractors, contract administrators, programmers and delay analysts, as well as construction lawyers who require a better understanding of the underlying assumptions on which many quantitative delay analyses are based. (Construction Law Journal, 2009)
Causal Analysis
Author: Lawrence R. JamesPublisher: SAGE Publications, Incorporated
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
Book Description
This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.
Practical Schedule Risk Analysis
Author: David HulettPublisher: CRC Press
ISBN: 1317076699
Category : Business & Economics
Languages : en
Pages : 238
Book Description
Project scheduling is required for good project management, and the schedule represents the project plan under a specific set of assumptions, often that it will avoid new risks or even those that have occurred on previous occasions. The typical Critical Path Method (CPM) schedule assumes that the project team knows how long the scheduled activities will take. Yet, the experienced project manager knows that duration values so precisely stated are actually only estimates based on assumptions that could be wrong. A schedule risk analysis explores the implications for the project's schedule of risk to the activity durations and also identifies the most important schedule risks. This analysis, building on and extending CPM scheduling, will result in a more accurate estimate of completion and provide an early opportunity for planning effective risk mitigation actions. Practical Schedule Risk Analysis contains a complete treatment of schedule risk analysis from basic to advanced concepts. The methods are introduced at the simplest level: * Why is the duration uncertain? * And how do we represent this uncertainty with a probability distribution? These are then progressively elaborated: * How does uncertainty of activities along a path lead to more uncertainty of the path's completion date? * How can a schedule with parallel paths be riskier than each of the paths individually? * How can we represent risks about activities that are not in the schedule at all? Culminating in a discussion of the most powerful and advanced capabilities available in current commercial software. Schedule risk analysis is a process that is industry-independent, and the methods explained in this volume have been used by the author with positive effect in such industries as construction, oil and gas, information systems, environmental restoration and aerospace/defense. The result is a book that is not only highly practical; something that people within all types of projects and in all industries can apply themselves; but that is an extraordinarily complete guide to creating and managing a rigorous project schedule.
Testing Statistical Assumptions in Research
Author: J. P. VermaPublisher: John Wiley & Sons
ISBN: 1119528399
Category : Mathematics
Languages : en
Pages : 263
Book Description
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Assumptions of Social Psychology
Author: Robert E. LanaPublisher: Psychology Press
ISBN: 1317782712
Category : Psychology
Languages : en
Pages : 179
Book Description
This book is a thorough revision of the successful Assumptions of Social Psychology, first published in 1969. Reexamining the implicit and explicit assumptions concerning inquiry as to the nature of the human organism, it takes as its major thesis the idea that the epistemologies utilized by social psychologists -- encompassing behavioral, intentional, and historical analyses -- are complementary rather than contradictory. After examining key figures in the history of Western epistemology, such as Descartes, Vico, Hume, and Kant, contemporary issues such as the nature of causation, intentions, behavior, rhetoric, and hermeneutics are discussed. A major thesis is that the epistemologies utilized by social scientists encompassing behavioral, cognitive, and historical analyses are complimentary rather than contradictory. In order to demonstrate this, the historical underpinnings of social psychological epistemologies and an argument for the complimentarity of major social psychological theoretical approaches are developed. Most importantly, some of the possibilities for building explanation of social phenomena, which are alternatives to existing forms of explanation, are discussed.
Working with Assumptions in International Development Program Evaluation
Author: Apollo M. NkwakePublisher: Springer Nature
ISBN: 3030330044
Category : Social Science
Languages : en
Pages : 212
Book Description
This book discusses the crucial place that assumptions hold in conceptualizing, implementing, and evaluating development programs. It suggests simple ways for stakeholders and evaluators to 1) examine their assumptions about program theory and environmental conditions and 2) develop and carry out effective program monitoring and evaluation in light of those assumptions. A survey of evaluators from an international development agency reviewed the state of practice on assumptions-aware evaluation. This 2nd edition has been updated with further illustrations, case studies, and frameworks that have been researched and tested in the years since the first edition. Regardless of geography or goal, development programs and policies are fueled by a complex network of implicit ideas. Stakeholders may hold assumptions about purposes, outcomes, methodology, and the value of project evaluation and evaluators—which may or may not be shared by the evaluators. A major barrier to viable program evaluations is that development programs are based on assumptions that often are not well articulated. In designing programs, stakeholders often lack clear outlines for how implemented interventions will bring desired changes. This lack of clarity masks critical risks to program success and makes it challenging to evaluate such programs. Methods that have attempted to address this dilemma have been popularized as theory of change or other theory‐based approaches. Often, however, theory-based methods do not sufficiently clarify how program managers or evaluators should work with the assumptions inherent in the connections between the steps. The critical examination of assumptions in evaluation is essential for effective evaluations and evaluative thinking. "How does one think evaluatively? It all begins with assumptions. Systematically articulating, examining, and testing assumptions is the foundation of evaluative thinking... This book, more than any other, explains how to build a strong foundation for effective interventions and useful evaluation by rigorously working with assumptions." —Michael Quinn Patton, PhD. Author of Utilization-Focused Evaluation and co-editor of THOUGHTWORK: Thinking, Action, and the Fate of the World, USA. "This updated edition presents us with a new opportunity to delve into both the theoretical and practical aspects of paradigmatic, prescriptive, and causal assumptions. We need to learn, and apply these insights with the deep attention they deserve." —Zenda Ofir, PhD. Independent Evaluator, Richard von Weizsäcker Fellow, Robert Bosch Academy, Berlin, Germany. Honorary Professor, School of Public Leadership, Stellenbosch University, South Africa. “This thought-provoking book explains why assumptions are an essential condition within the theories and methodologies of evaluation; and how assumptions influence the ways that evaluators approach their work...It will enrich the ways that evaluators develop their models, devise their methodologies, interpret their data, and interact with their stakeholders.” —Jonny Morell, Ph.D., President, 4.669... Evaluation and Planning, Editor Emeritus, Evaluation and Program Planning
Understanding Regression Assumptions
Author: William D. BerryPublisher: SAGE Publications
ISBN: 1506315828
Category : Social Science
Languages : en
Pages : 108
Book Description
Through the use of careful explanations and examples, Berry shows the reader how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in textbooks, Berry moves on to explore in detail the "substantive" meaning of each assumption (such as lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of autocorrelation). Aimed at improving social science applications of regression, this volume is a must for every student′s and researcher′s library.