Sport performance analysis techniques help coaches, athletes and sport scientists develop an objective understanding of actual sport performance, as opposed to self-report, fitness tests or laboratory based experiments. This is a comprehensive guide to this exciting and dynamic branch of sport science.
A productive society is dependent upon high-performing government. This third edition of The Public Performance and Productivity Handbook includes chapters from leading scholars, consultants, and practitioners to explore all of the core elements of improvement. Completely revised and focused on best practice, the handbook comprehensively explores managing for high performance, measurement and analysis, costs and finances, human resources, and cutting-edge organizational tools. Its coverage of new and systematic management approaches and well-defined measurement systems provides guidance for organizations of all sizes to improve productivity and performance. The contributors discuss such topics as accountability, organizational effectiveness after budget cuts, the complementary roles of human capital and “big data,” and how to teach performance management in the classroom and in public organizations. The handbook is accompanied by an online companion volume providing examples of performance measurement and improvement manuals across a wide variety of public organizations. The Public Performance and Productivity Handbook, Third Edition, is required reading for all public administration practitioners, as well as for students and scholars interested in the state of the public performance and productivity field.
This is the first book to fully introduce a newly developed distance friction minimization (DFM) model, which is one of the new efficiency improvement projection approaches in data envelopment analysis (DEA). The DFM model can produce a most effective solution in efficiency improvement projections for inefficient spatial entities (decision-making units). The book provides a set of fresh contributions to a quantitative assessment of the performance of such policy entities. First it offers a state-of-the art overview of current DEA models and approaches, followed by the operational design of various new types of DEA models, each of them addressing weaknesses in traditional DEA approaches. Then it illustrates the assessment potential of DEA — and its new variants, in particular, the DFM model and subsequent extensions — on the basis of a broadly composed collection of empirical case studies, centering mainly but not exclusively on Japan and other Asian nations.
This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis. The Palgrave Handbook of Performance Analysis discusses the two basic techniques of performance measurement – deterministic benchmarking and stochastic benchmarking – in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.
Assessment is essential to describe a library’s value and to inform decision-making. Using the four key assessment components of design, data collection, data analysis, and dissemination, Assessing Academic Library Performance: A Handbook provides strategies and case studies for performing four different types of assessments: Service assessments for the library’s outward and inward facing services that either help library users or other library employees to help users. These assessments focus on providing and improving how things are done to better serve others. Resources assessments for the physical and virtual resources that the library has in its holdings or to which it provides access. Resources are the reason libraries exist as they help patrons in instructional and research pursuits. Space assessments for physical and online library spaces. These assessments help ensure that spaces meet user needs. Personnel relationship assessments look at how library employees interact with each other. as library professionals. While not for evaluation or advancement purposes, these types of assessments provide information on what library employees can do to improve their relationships with one another. Each section has information on conducting each aspect of libraries followed by three examples to illustrate how assessment is used to support descriptions of library value and to help library employees make decisions that are critical to library improvement.
This book provides a new design and evaluation framework based on slope Stochastic Dynamics theory to probabilistic seismic performance for slope engineering. For the seismic dynamic stability safety of slope, it shifts from deterministic seismic dynamic analysis to quantitative analysis based on nonlinear stochastic dynamics, that is, from qualitative to the description of stochasticity of earthquake excitation that meet the needs in related design specification and establish a performance standard. In the nonlinear dynamic time history analysis of slope subjected to seismic ground motion, the term “randomness” is used to express the uncertainty in the intensity and frequency of earthquake excitation for slope engineering dynamic seismic performance. It mainly includes seismic design fortification standard, corresponding ground motion excitation, performance index threshold, and slope deterministic nonlinear seismic dynamic response. Even more than that, the seismic dynamic large deformation approaches of the whole process and comprehensive analysis for flow analysis after slope instability failure. Eventually, the probabilistic seismic dynamic performance of the slope engineering will be characterized by nonlinear dynamic reliability.