Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications.
It is an essential text for students in measurement and evaluation classes as part of a degree program in physical education, exercise science or kinesiology, and a valuable reference for practitioners seeking to inform their professional practice.
Offering a full companion website featuring an instructor’s manual, lecture slides, and a test bank, Measurement and Evaluation in Physical Education and Exercise Science is a complete resource for instructors and students, alike. Each chapter features learning aids such as objectives, key terms, practical applications, and review questions, while an appendix offers in-depth Excel assignments. measurement for health-related physical fitness.It covers a full range of introductory topics, including current trends in measurement and evaluation, program development, statistics, test selection, and an expanded chapter on alternative assessment, before introducing: Written by two academics with backgrounds in physical education teacher education (PETE), the book emphasizes the link between theory and practice and reflects the most recent changes in national physical education programs. The eighth edition of Measurement and Evaluation in Physical Education and Exercise Science, now published in paperback and hardback, offers students a clear and practical guide to best practice for measurement and evaluation in school- and nonschool-based physical activity programs. Measurement and Evaluation in Physical Education and Exercise Science Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action.
Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader’s understanding. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today.
Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations. This is the first book to provide the student of tourism, hospitality and events with all that they need to undertake statistical analysis using SPSS for research in their industry.