Each chapter starts with a discussion of tools and related concepts with examples, then presents a factual case study to demonstrate the use of the tools, and ends with a list of practice questions. Each chapter starts with a discussion of tools and related concepts with examples, then presents a factual case study to demonstrate the use of the tools, and ends with a list of practice questions. It is in this performance management context that the usefulness and applicability of statistical tools are illuminated for the learner. Examples throughout have been chosen to be relevant to the not-for-profit organization and each chapter contains several real-life' illustrations of how statistical techniques can be used in actual practice. It is impressively succinct but covering a wide variety of research strategies including among others: action research, hypotheses, sampling, case selection, questionnaires, interviewing, desk research, prescription and research ethics.
Findings: Empirical findings reveal that evaluation of social enterprise outcomes is associated with higher levels of self-efficacy. Author by : Kenneth J. This book corrects this problem by providing a managerial context that bridges statistical concepts and the managerial reality. The aim of this literature research article was to provide insight into the challenges that quantitative researchers face and to analyze the specific issues with surveys. The authors give practical, considered advice in the fourth section to anticipate and solve data management problems. It is thus clear that additional research is needed to better understand the selection of a distribution channel strategy for a non-profit organization selling products or services to its end customers, and also the related managerial implications.
In addition to explaining statistical methods and techniques in detail, the author focuses on why statistics should be used and helps the reader obtain an intuitive grasp of the rationale behind the statistics. It is designed as a how-to-do manual for public and nonprofit managers who want to know how to conduct performance analysis. Local government managers and department heads will have an accessible, hands-on guide to basic statistical analysis with an emphasis on the unique needs for data analysis and presentation that arise in local government. While survey research is a method of choice among quantitative scholars and practitioners, the rigor with which it is conducted within the business community remains a topic of interest. It features a practical case-study approach, and includes plentiful exercises and examples with easy-to-use demonstrations of Microsoft Excel. At the individual level, it appears females are responsible for increased dollar losses; however, subsequent analyses demonstrate that organizations with a higher level of internal controls detect fraud committed by males, and it is these offenses that result in more serious losses.
It is in this performance management context that the usefulness and applicability of statistical tools are illuminated for the learner. This textbook does not bog the nascent researcher down in the theory but does provide numerous international examples and practical exercises to illuminate the research journey. The managerial context is performance management, in which performance data are presented, monitored, and analyzed. The book emphasizes statistical models that use more than one variable and is unique in presenting multivariate statistics specifically with the public and nonprofit manger in mind. Following a chapter that introduces the concept of multivariate analysis, Stiefel explains simple and multiple regression models in detail.
Author by : Gerald J. The traditional approaches of business ethics and risk management obviously show limitations in this respect. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. This course emphasizes the challenges of managing people within the broader context of political or board control, as well as budgeting, planning, and information management. Following a linear, logical organization, this handbook meets systematic goals and objectives through eight groups of chapters. This text is an effective learning tool for students in analytical technique courses in public administration and policy programs. It Is In This Performance Management Context That The Usefulness And Applicability Of Statistical Tools Are Illuminated For The Learner.
As nonprofit management education develops, it has the opportunity to consider new premises concerning managers' roles. Periods of change and upheaval in the public sector provide ample opportunities and cases for research, but the standard methodologies for researching in the social sciences can be difficult to follow in the complex world of the public sector. The statistical analysis may be descriptive and reflect the shape of the data collected and identify its average, median, and mode. Thoroughly classroom-tested, The book is designed as a textbook for courses of analytical and statistical techniques in public administration and nonprofit management. As a result, students will learn to recognize where quantitative methods are useful, and apply the skills needed to solve real-world problems during their professional careers in the public sector.
While there are other publications with the purpose of simplifying statistics for a broad audience, the use of specific government examples and problems make the information presented in this book concrete and applied for the local government audience. Purpose — The purpose of this paper is to better understand the selection of a distribution channel strategy for a non-profit organization selling products or services to its end customers. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. The final section addresses the impact of research and describes how to overcome illusive, tricky, and sizeable barriers to influence other researchers, decision makers, foundations, and grant making institutions. Later chapters discuss other techniques that are becoming widely used in not-for-profit organizations: logit and probit analysis, time-series models, and simultaneous equation models.
Because she stresses the logic of proofs and the limitations of results rather than the pure mathematics of statistical derivation, the volume is accessible to students and managers with only a little statistical background. Yet, many managers do not have an extensive background in the examination and analysis of data. Yet, many managers do not have an extensive background in the examination and analysis of data. One concerns the emergency medicine department of a medium-sized community hospital. This disconnect manifests itself in critiques regarding the marginalization of practitioners and lack of knowledge sharing.
The authors give practical, considered advice in the fourth section to anticipate and solve data management problems. With other texts, students may learn about a statistical concept and calculation, but still don't understand the managerial context where the statistical tool applies. Design and instrumentation persuade by showing how bias and error are eliminated. Finally, the discussion focuses on why this conversation, because it invokes issues crucial to our understanding of who we are and what we do as inquirers, must be reinvigorated. It stresses the importance of a particular form of mentoring and its ties to multiple, reinforcing opportunities for students if analytical, praxis-centered capacities are to be successfully developed. The other concerns a congregational development project, developed in partnership with an Episcopal diocese, and focused on a single congregation.