An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists (eBook, ePUB)

Redaktion: Ntoumanis, Nikos; Myers, Nicholas D.

• Format: ePub

Produktbeschreibung

"e;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."e; Robert Eklund, School of Sport, University of Stirling, UK "e;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."e; Beverly D. Ulrich, School of Kinesiology, University of Michigan, USA "e;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."e; Gregory R. Hancock, University of Maryland and Center for Integrated Latent Variable Research (CILVR), USA

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 312
• Erscheinungstermin: 17. Dezember 2015
• Englisch
• ISBN-13: 9781118962046
• Artikelnr.: 44414205

Autorenporträt

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.

Inhaltsangabe

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