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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
Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.
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.
"Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists. This book has an outstanding compilation of comprehensible chapters dealing with the important concepts and technical minutia of the statistical analyses that sport and exercise science scholars use (or should be using!) in their efforts to conduct meaningful research in the field. It is a resource that all sport and exercise scientists and their students should have on their book shelves." —Robert Eklund, School of Sport, University of Stirling, UK "Motivating, to have a statistics text devoted to enabling researchers studying sport and exercise science to apply the most sophisticated analytical techniques to their data. Authors hit the mark between using technical language as necessary and user-friendly terms or translations to keep users encouraged. Text covers traditional and well-used tools but also less common and more complex tools, but always with familiar examples to make their explanations come alive. As a dynamic systems theorist and developmentalist, I would love to see more researchers in my area create study designs that would enable the use of tools outlined here, such as multilevel structural equation modeling (MSEM) or mediation & moderation analyses, to uncover cascades of relations among subsystems contributing to motor performance, over time. This text can facilitate that outcome." —Beverly D. Ulrich, School of Kinesiology, University of Michigan, USA "The domain of quantitative methods is constantly evolving and expanding. This means that there is tremendous pressure on researchers to stay current, both in terms of best practices and improvements in more traditional methods as well as increasingly complex new methods. With this volume Ntoumanis and Myers present a nice cross-section of both, helping sport and exercise science researchers to address old questions in better ways, and, even more excitingly, to address new questions entirely. I have no doubt that this volume will quickly become a lovingly dog-eared companion for students and researchers, helping them to continue to move the field forward." —Gregory R. Hancock, University of Maryland and Center for Integrated Latent Variable Research (CILVR), USA
This comprehensive, accessible and practical textbook provides a complete grounding in both qualitative and quantitative research methods for the sports studies student. The book offers the reader a step-by-step guide to the research process, from designing a research project, to collecting and analyzing data, to reporting the research, and is richly illustrated throughout with sport-related case-studies and examples from around the world. Now in a fully revised and updated new edition, the book covers key topics such as: choosing an appropriate research design undertaking a literature review key research techniques, including questionnaires, interviews, content analysis and ethnographic studies data analysis, including an introduction to SPSS, as well as guides to descriptive and inferential statistics writing a research report ethical issues in sports research. Research Methods in Sports Studies is designed to be a complete and self-contained companion to any research methods course and contains a wealth of useful features, such as highlighted definitions of key terms, revision questions, practical research exercises, and a companion website with web links, multiple choice questions, powerpoint slides, and other learning resources. The book is also an invaluable reference for any student undertaking a dissertation or research project as part of their studies. Visit the companion website at: www.routledge.com/textbooks/9780415493932
This is the first book to fully explain single-case research in the context of sport and exercise. Starting with first principles, it offers a comprehensive introduction to the single-case research process, from study design to data analysis and presentation.
The last two decades have witnessed a proliferation of qualitative research in sport and exercise. The Routledge Handbook of Qualitative Research in Sport and Exercise is the first book to offer an in-depth survey of established and emerging qualitative methods, from conceptual first principles to practice and process. Written and edited by a team of world-leading researchers, and some of the best emerging talents, the book introduces a range of research traditions within which qualitative researchers work. It explores the different methods used to collect and analyse data, offering rationales for why each method might be chosen and guidance on how to employ each technique successfully. It also introduces important contemporary debates and goes further than any other book in exploring new methods, concepts, and future directions, such as sensory research, digital research, visual methods, and how qualitative research can generate impact. Cutting-edge, timely and comprehensive, the Routledge Handbook of Qualitative Research in Sport and Exercise is an essential reference for any student or scholar using qualitative methods in sport and exercise-related research.
Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!
Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology, including exercise physiology, biomechanics, physical education, and physical therapy, this essential text provides students with a statistical skill set that will enable them to analyze quantitative data and find answers to questions they will encounter in their specific disciplines. As in previous editions, emphasis is placed on methods commonly seen in kinesiology, such as correlation and bivariate regression, t tests, analysis of variance (ANOVA), and the interpretation of interactions in factorial analyses of variance. The fifth edition also incorporates fully updated content reflecting the changing face of kinesiology: Comparisons of observational versus experimental research and nonparametric versus parametric methods of analyzing categorical and ordinal data More detailed coverage on how to calculate central tendency when data have been transformed (e.g., log transformations) as well as multiple ways to interpret the correlation coefficient Expanded coverage of statistical graphs, including dot plots and spaghetti plots A discussion of the real meaning of p values and confidence intervals An introduction to frequentist approaches versus Bayesian methods In addition, a new web resource offers abridged presentations of complex statistical concepts and an interactive platform to practice problem solving. Mini lectures, consisting of narrated slideshows, provide further explanations and may be quickly accessed through QR codes placed at the end of each chapter. Sample problems then provide an opportunity for students to put the concepts into practice. Statistical software tools commonly used in kinesiology applications--such as JASP and G*Power--are briefly introduced, encouraging students to apply their knowledge of statistical procedures to generate and interpret computer results with confidence and ease. With Statistics in Kinesiology, Fifth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book's practical approach, based on the authors' more than 50 years of combined experience in teaching statistics, will make it easy for students to learn these important, but often intimidating, concepts.
This book systematically demonstrates the significance and application of method in plain language. Written for students by a leading academic, this book 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 its readers. Drawing on the author's years of teaching experience, it includes carefully cross-referenced entries which critically engage with interdisciplinary themes and data.