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The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
This book is open access under a CC BY-NC 3.0 IGO license. This book comprehensively covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness. The research included is particularly useful to knowledge workers engaged in executive leadership; research, analysis and advice; and corporate management and administration. It is a valuable resource for those working in the public, private and third sectors, both in industrialized and developing countries.
This book brings to life best practices of Human Simulation; maximizing the Standardized Patient (SP) methodology that has played a major role in health professions learning and assessment since the 1960s. Each chapter reflects the Association of SP Educators Standards of Best Practices (SOBPs) and provides guidance for implementation. Multiple insights are offered through embedded interviews with international experts to provide examples illustrating successful strategies. The Human Simulation Continuum Model, a practical and theoretical framework, is introduced to guide educators in decision-making processes associated with the full range of human simulation. The Continuum Model spans improvisations, structured role-play, embedded participants, and simulated-standardized patients. This book also provides the full “how-to” for SP methodology covering topics including; case/scenario development, creating training material, training techniques for case portrayal, training communication and feedback skills, GTA/MUTA/PTA training, SP program administration and professional development for SP Educators. A pragmatic, user-friendly addition to the Comprehensive Healthcare Simulation series, Implementing Best Practices in Standardized Patient Methodology is the first book framed by the ASPE SOBPs, embracing best practices in human simulation and marshaling the vast expertise of a myriad of SP Educators.
Herman Aguinis′s Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published research.
Jason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Hacking Leadership is Mike Myatt's latest leadership book written for leaders at every level. Leadership isn't broken, but how it's currently being practiced certainly is. Everyone has blind spots. The purpose of Hacking Leadership is to equip leaders at every level with an actionable framework to identify blind spots and close leadership gaps. The bulk of the book is based on actionable, topical leadership and management hacks to bridge eleven gaps every business needs to cross in order to create a culture of leadership: leadership, purpose, future, mediocrity, culture, talent, knowledge, innovation, expectation, complexity, and failure. Each chapter: Gives readers specific techniques to identify, understand, and most importantly, implement individual, team and organizational leadership hacks. Addresses blind spots and leverage points most leaders and managers haven’t thought about, which left unaddressed, will adversely impact growth, development, and performance. All leaders have blind-spots (gaps), which often go undetected for years or decades, and sadly, even when identified the methods for dealing with them are outdated and ineffective – they need to be hacked. Showcases case studies from the author’s consulting practice, serving as a confidant with more than 150 public company CEOs. Some of those corporate clients include: AT&T, Bank of America, Deloitte, EMC, Humana, IBM, JP Morgan Chase, Merrill Lynch, PepsiCo, and other leading global brands. Hacking Leadership offers a fresh perspective that makes it easy for leaders to create a roadmap to identify, refine, develop, and achieve their leadership potential--and to create a more effective business that is financially solvent and professionally desirable.
The integrity of knowledge that emerges from research is based on individual and collective adherence to core values of objectivity, honesty, openness, fairness, accountability, and stewardship. Integrity in science means that the organizations in which research is conducted encourage those involved to exemplify these values in every step of the research process. Understanding the dynamics that support â€" or distort â€" practices that uphold the integrity of research by all participants ensures that the research enterprise advances knowledge. The 1992 report Responsible Science: Ensuring the Integrity of the Research Process evaluated issues related to scientific responsibility and the conduct of research. It provided a valuable service in describing and analyzing a very complicated set of issues, and has served as a crucial basis for thinking about research integrity for more than two decades. However, as experience has accumulated with various forms of research misconduct, detrimental research practices, and other forms of misconduct, as subsequent empirical research has revealed more about the nature of scientific misconduct, and because technological and social changes have altered the environment in which science is conducted, it is clear that the framework established more than two decades ago needs to be updated. Responsible Science served as a valuable benchmark to set the context for this most recent analysis and to help guide the committee's thought process. Fostering Integrity in Research identifies best practices in research and recommends practical options for discouraging and addressing research misconduct and detrimental research practices.
Learn best practices and proven methods from project management professionals—and apply these skills as you work with Microsoft Project. In this practical guide, project management expert Bonnie Biafore shows you how to manage projects efficiently and effectively, sharing the real-world experiences of project managers in several industries. You'll learn how to put the best practices and hard-won lessons of experts to work on your critical projects. Sharpen the skills you need to manage projects expertly—from start to finish Communicate effectively with project stakeholders, management, and team members Apply methods to break down the project into small, manageable pieces Define work assignments, choose resources, and build project schedules Accurately estimate project costs and work with a budget Identify project changes and manage risks Track progress and balance priorities without sacrificing quality Document project history and lessons learned to help improve future projects Project files available on the companion website.
In the Fifth Edition of A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving, Eugene Bardach and new co-author Eric Patashnik draw on more than 40 years of experience teaching students to be effective, accurate, and persuasive policy analysts. This bestselling handbook presents dozens of concrete tips, interesting case studies, and step-by-step strategies that are easily applicable for the budding analyst as well as the seasoned professional. In this new edition, Bardach and Patashnik update many examples to reflect the shifting landscape of policy issues. A new section with advice on how to undertake policy design in addition to making policy choices makes the book even more engaging. Readers will also appreciate a sample document of real world policy analysis, suggestions for developing creative, "out-of-the-box" solutions, and tips for working with clients.