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Describing the processes involved in statistical research in the context of sports and exercise, this text demonstrates the fundamentals of statistics, helping the reader to develop confidence in the research process.
Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course
Statistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings. Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples and clear summaries. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1,300 PowerPoint slides for use by tutors and lecturers. Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. Visit the companion website at: www.routledge.com/cw/odonoghue
"What a helpful book! This will be a 'friend ' to many undergraduate students looking for clarification." - Helen Hazelwood, St Mary's University College "This is a great book that really helps the students understand research and the complex processes that can often daunt even the most intelligent students." - Phil Barter, Middlesex University "Few can bring research methods to life like Mike Atkinson. His breadth of research interests and experience mean he can introduce you to all you need to know and inspire you to get down to doing some research yourself." - Dominic Malcolm, Loughborough University This book systematically demonstrates the significance and application of research methods in plain language. Written for students, it contains the core methodological concepts, practices and debates they need to understand and apply research methods within the field of sport and exercise. It provides a comprehensive panoramic introduction which will reassure and empower students. Written by a leading academic and drawing on years of teaching experience, it includes carefully cross-referenced entries which critically engage with interdisciplinary themes and data. Each concept includes: clear definitions suggestions for further reading comprehensive examples practical applications Pragmatic, lucid and concise the book will provide essential support to students in sports studies, sport development, sport and exercise science, kinesiology and health.
This inaugural issue is devoted to exploring measurement, research design, and statistics issues in six subdisciplines of exercise and sport science. Originally presented at the Eighth Measurement and Evaluation Symposium, all papers in this issue reflect the work of many renowned measurement specialists and content experts in their respective fields. The articles discuss the following topics: * standards of assessment quality for physical educators and the problem of providing adequate assessment without adequate resources; * the importance of properly conceptualizing and defining appropriate research questions as the "source and solution" for measurement and design issues in reference to motor learning/control and sport and exercise psychology; * the study of individuals -- single-subject and other small-sample designs -- in contrast to the more traditional study of groups; and * the importance of computing and reporting statistical power in research.
Data Analysis and Research for Sport and Exercise Science is tailored to suit undergraduate sports and exercise science students seeking a clear understanding of data and statistics to support their scientific research. The text is divided into three main areas: Research and Design, Data Analysis and the Interpretation of Findings. Topics covered in the book include: * introduction to the scientific research method * the literature review * developing your research question and experimental design * using statistical analysis to interpret results * presentation of your data * discussing your results and drawing conclusions. Both authors have supervised many student dissertations and have an excellent understanding of the concerns and pitfalls facing those new to this field.
Using data primarily drawn from physical education, exercise science, administration, and pedagogy, this textbook introduces the concepts behind percentiles, measures of variability, the normal curve, correlation, regression, the t test, analysis of variance with repeated measures, and factorial analysis of variance. The third edition updates probl

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