"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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Nikos Ntoumanis, School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK. Nikos has been teaching statistics to sport and exercise sciences university students for 14 years in two UK universities and delivered statistics workshops in the UK and overseas.
Nicholas Daniel Myers, Department of Educational and Psychological Studies, University of Miami, Florida, USA. His expertise is in advanced statistical methods with an emphasis on applications in sport and exercise science. Nicholas serves as Director of the Research, Measurement, and Evaluation (RME) doctoral program at the University of Miami. The RME doctoral program has been rated a top-20 program nationally by Academic Analytics since 2006 and has served as a statistical consultant for the Research Methodology Services component of the Dunspaugh-Dalton Community and Educational Well-Being (CEW) Research Centre at the University of Miami.
An essential guide to modern statistical methods for sport and exercise scientists
This book introduces the reader to a wide variety of intermediate and advanced statistical tests that are utilised within the sport and exercise science/ kinesiology field. The first part of this book explores widely employed statistical tests including ANOVA, MANOVA and mediation and moderation via regressions. The later chapters examine more advanced and less frequently used tests and procedures such as sample size and power determination, exploratory structural equation modeling and mixture modeling.
Key features:
This book provides an excellent resource for researchers and postgraduate students who need to use complex and statistical techniques. Postgraduate students and researchers in health, psychology and education will also find this book beneficial.
An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists
Nikos Ntoumanis, School of Psychology and Speech Pathology, Curtin University, Perth, Australia
Nicholas D. Myers, School of Education and Human Development, University of Miami, Florida, USA
An essential guide to modern statistical methods for sport and exercise scientists
This book introduces the reader to a wide variety of intermediate and advanced statistical tests that are utilised within the sport and exercise science/ kinesiology field. The first part of this book explores widely employed statistical tests including ANOVA, MANOVA and mediation and moderation via regressions. The later chapters examine more advanced and less frequently used tests and procedures such as sample size and power determination, exploratory structural equation modeling and mixture modeling.
Key features:
* Provides a wide variety of intermediate to advanced statistical tests with all examples being specific to sport and exercise sciences
* Each chapter has step-by-step explanations of the required procedures and a non-technical interpretation of the findings
* Written by a diverse international group of experts in quantitative methodology
* A supporting website featuring a variety of detailed programme code; primarily SPSS and MPlus, screenshots and datasets to enable readers to replicate the examples presented throughout the book
This book provides an excellent resource for researchers and postgraduate students who need to use complex and statistical techniques. Postgraduate students and researchers in health, psychology and education will also find this book beneficial.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardback. Condizione: New. "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 and 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. Codice articolo LU-9781118962053
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