Introduction to Intermediate and Advanced Statistical Analyses for - Sport and Exercise Scientist

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

List of contents

About the editors xiii
 
List of contributors xv
 
Foreword xix
 
Preface xxi
 
1 Factorial ANOVA and MANOVA 1
 
General Introduction 1
 
Hypothesis Testing 2
 
Alpha Level 2
 
Assumptions 3
 
Further Considerations 4
 
Utility in Sport and Exercise Sciences 6
 
Treatment Conditions 6
 
Existing Conditions 6
 
Individual Characteristics 7
 
Recent Usage 7
 
The Substantive Example 7
 
Univariate: Factorial ANOVA 8
 
Univariate Assumptions 8
 
The Synergy 10
 
Factorial ANOVA Analysis Plan 10
 
Example of a Write?]Up Compatible with the APA Publication Manual 11
 
Factorial MANOVA Analysis Plan 13
 
Example of a Write?]Up Compatible with the APA Publication Manual 13
 
Summary 16
 
Acknowledgment 18
 
References 18
 
2 Repeated measures ANOVA and MANOVA 19
 
General Introduction 19
 
Between?] versus Within?]Subjects Variables 19
 
Hypothesis Testing 20
 
Assumptions 20
 
Further Considerations 21
 
Utility in Sport and Exercise Sciences 22
 
Multiple Treatment Conditions 23
 
Multiple Assessments 23
 
Longitudinal Studies 23
 
Recent Usage 24
 
The Substantive Example 24
 
Univariate: Repeated Measures ANOVA 24
 
Univariate Assumptions 25
 
Multivariate: Repeated Measures MANOVA 26
 
Multivariate Assumptions 26
 
The Synergy 27
 
Repeated Measures ANOVA Analysis Plan 27
 
Example of a Write?]Up Compatible with the APA Publication Manual 29
 
Repeated Measures MANOVA Analysis Plan 29
 
Example of a Write?]Up Compatible with the APA Publication Manual 31
 
Summary 32
 
Acknowledgment 34
 
References 34
 
3 Mediation and moderation via regression analysis 35
 
General Introduction 35
 
Utility of the Methods in Sport and Exercise Science 36
 
The Substantive Example 38
 
Mediation 38
 
The Synergy 38
 
Mediation 38
 
The Substantive Example 44
 
Moderation 44
 
The Synergy 45
 
Moderation 45
 
Summary 53
 
References 55
 
4 Item response theory and its applications in Kinesiology 57
 
General Introduction 57
 
What Is IRT? 59
 
Other Commonly Used IRT Models 60
 
Assumptions Related to IRT 62
 
Unidimensionality 62
 
Local Independence 62
 
Addressing Model?]Data Fit 62
 
Inspecting Model Assumptions 63
 
Inspecting Expected Model Features 63
 
Inspecting Overall Model?]Data Fit 64
 
Computer Simulation for Model?]Data Fit Testing 64
 
Unique Features and Advantages of IRT 65
 
Estimation Invariance 65
 
Common Metric Scale 65
 
Item and Test Information 66
 
Test Relative Efficiency 68
 
Global "Reliability" Is no Longer a Concern 69
 
Item Bank and IRT?]Based Test Construction 69
 
Parameter Estimation and Software 71
 
Utility of the Methodology in Kinesiology 71
 
IRT Limitations and Future Direction 72
 
Conclusion 73
 
References 74
 
5 Introduction to factor analysis and structural equation modeling 79
 
General Introduction 79
 
Utility of the Method in Sport and Exercise Science 80
 
Terminology and Methodology 83
 
Evaluating Model Fit 86
 
Interpreting Parameter Estimates 88
 
The Substantive Example 89
 

About the author

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.

Summary

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

Product details

• Authors: Nicholas D Myers, Nicholas D. Myers, Niko Ntoumanis, Nikos Ntoumanis, Nikos (School of Psychology and Speech Ntoumanis, Nikos Myers Ntoumanis
• Assisted by: Nicholas D Myers (Editor), Nicholas D. Myers (Editor), Myers Nicholas D. (Editor), Nikos Ntoumanis (Editor), Ntoumanis Nikos (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 31.01.2016
• EAN: 9781118962053
• ISBN: 978-1-118-96205-3
• No. of pages: 312
• Subjects: Humanities, art, music > Education; Natural sciences, medicine, IT, technology > Medicine > General; Statistik, Pädagogik, Medizin, Sportwissenschaft, Education, Statistics, Bildungswesen, Sports science, Medical Science, Angewandte Wahrscheinlichkeitsrechnung u. Statistik, Applied Probability & Statistics, Educational Research & Statistics, Pädagogik / wissenschaftliche Studien u. Statistik