An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists

 
 
John Wiley & Sons Inc (Verlag)
  • erschienen am 24. November 2015
  • |
  • 312 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-1-118-96206-0 (ISBN)
 
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
weitere Ausgaben werden ermittelt
  • Intro
  • Title Page
  • Copyright Page
  • Contents
  • About the editors
  • List of contributors
  • Foreword
  • Preface
  • Chapter 1 Factorial ANOVA and MANOVA
  • General Introduction
  • Hypothesis Testing
  • Alpha Level
  • Assumptions
  • Further Considerations
  • Utility in Sport and Exercise Sciences
  • Treatment Conditions
  • Existing Conditions
  • Individual Characteristics
  • Recent Usage
  • The Substantive Example
  • Univariate: Factorial ANOVA
  • Univariate Assumptions
  • The Synergy
  • Factorial ANOVA Analysis Plan
  • Example of a Write-Up Compatible with the APA Publication Manual
  • Factorial MANOVA Analysis Plan
  • Example of a Write-Up Compatible with the APA Publication Manual
  • Summary
  • Acknowledgment
  • References
  • Chapter 2 Repeated measures ANOVA and MANOVA
  • General Introduction
  • Between- versus Within-Subjects Variables
  • Hypothesis Testing
  • Assumptions
  • Further Considerations
  • Utility in Sport and Exercise Sciences
  • Multiple Treatment Conditions
  • Multiple Assessments
  • Longitudinal Studies
  • Recent Usage
  • The Substantive Example
  • Univariate: Repeated Measures ANOVA
  • Univariate Assumptions
  • Multivariate: Repeated Measures MANOVA
  • Multivariate Assumptions
  • The Synergy
  • Repeated Measures ANOVA Analysis Plan
  • Example of a Write-Up Compatible with the APA Publication Manual
  • Repeated Measures MANOVA Analysis Plan
  • Example of a Write-Up Compatible with the APA Publication Manual
  • Summary
  • Acknowledgment
  • References
  • Chapter 3 Mediation and moderation via regression analysis
  • General Introduction
  • Utility of the Methods in Sport and Exercise Science
  • The Substantive Example
  • Mediation
  • The Synergy
  • Mediation
  • The Substantive Example
  • Moderation
  • The Synergy
  • Moderation
  • Summary
  • References
  • Chapter 4 Item response theory and its applications in Kinesiology
  • General Introduction
  • What Is IRT?
  • Other Commonly Used IRT Models
  • Assumptions Related to IRT
  • Unidimensionality
  • Local Independence
  • Addressing Model-Data Fit
  • Inspecting Model Assumptions
  • Inspecting Expected Model Features
  • Inspecting Overall Model-Data Fit
  • Computer Simulation for Model-Data Fit Testing
  • Unique Features and Advantages of IRT
  • Estimation Invariance
  • Common Metric Scale
  • Item and Test Information
  • Test Relative Efficiency
  • Global "Reliability" Is no Longer a Concern
  • Item Bank and IRT-Based Test Construction
  • Parameter Estimation and Software
  • Utility of the Methodology in Kinesiology
  • IRT Limitations and Future Direction
  • Conclusion
  • References
  • Chapter 5 Introduction to factor analysis and structural equation modeling
  • General Introduction
  • Utility of the Method in Sport and Exercise Science
  • Terminology and Methodology
  • Evaluating Model Fit
  • Interpreting Parameter Estimates
  • The Substantive Example
  • The Synergy
  • EFA: Establishing the Factor Structure
  • CFA: Testing the Measurement Models
  • Structural Equation Modeling: Adding the Regression Paths
  • Summary
  • References
  • Chapter 6 Invariance testing across samples and time: Cohort-sequence analysis of perceived body composition
  • General Introduction to the Importance of Measurement Invariance
  • Cohort-Sequential Designs: Longitudinal Invariance across Samples and Time
  • Substantive Application: Physical Self-Concept
  • Methodology
  • The PSDQ Instrument
  • Statistical Analyses
  • Goodness of Fit
  • Results
  • Basic Cohort-Sequence Model: Four Cohort Groups and Four Waves
  • Cohort-Sequence Design of Multiple Indicators, Multiple Causes Models
  • Use of Model Constraint with Orthogonal Polynomial Contrasts to Evaluate Cohort Sequence and MIMIC Latent Means
  • Use of Latent Growth Curve Models to Evaluate Stability/Change over Time
  • LGC Results
  • Summary, Implications, and Further Directions
  • Methodological Implications, Limitations, and Further Directions
  • References
  • Chapter 7 Cross-lagged structural equation modeling and latent growth modeling
  • General Introduction
  • A Theoretical Framework for the Study of Change
  • Utility of the Method in Sport and Exercise Science
  • Analysis of Change
  • The Substantive Example
  • Theoretical Background
  • The Data: Participants and Measurement
  • The Synergy
  • CLPM
  • CLPM Example
  • Latent Growth Modeling
  • LGM Example
  • Model 2a: Unconditional LGM
  • Model 2b: Conditional LGM
  • Model 2c: Unconditional LGM with TVCs
  • Model 3: Parallel Process LGM
  • Model 4: Second-Order LGM
  • Summary
  • References
  • Chapter 8 Exploratory structural equation modeling and Bayesian estimation
  • General Introduction
  • Utility of the Methods in Sport and Exercise Science
  • The Substantive Example(s)
  • The Motivational Correlates of Mentally Tough Behavior
  • Developing Synergies through Statistical Modeling
  • ESEM
  • Bayesian Estimation
  • Summary
  • References
  • Chapter 9 A gentle introduction to mixture modeling using physical fitness performance data
  • General Introduction
  • Utility of the Method in Sport and Exercise Science
  • The Substantive Example(s)
  • Class Enumeration in Mixture Models
  • The Estimation of Mixture Models
  • The Synergy
  • LPA of Grade 5 Students and Tests of Invariance across Gender Groups
  • Inclusion of Covariates in LPA Solutions
  • LTA
  • Mixture Regression Analyses of Grade 5 Students
  • Latent Basis Growth Mixture Analyses: Cardiovascular Fitness
  • Piecewise Growth Mixture Analyses: Physical Strength
  • Summary
  • Acknowledgments
  • References
  • Chapter 10 Multilevel (structural equation) modeling
  • General Introduction
  • Multilevel Structural Equation Modeling
  • Utility of the Methodology in Sport and Exercise Science
  • The Substantive Examples
  • Coaching Competency-Collective Efficacy-Team Performance: 1-1-2
  • Action Planning Intervention-Physical Activity Action Plans-Physical Activity: 2-1-1
  • The Synergy
  • Coaching Competency-Collective Efficacy-Team Performance: 1-1-2
  • Action Planning Intervention-Physical Activity Action Plans-Physical Activity: 2-1-1
  • Summary
  • References
  • Chapter 11 Application of meta-analysis in sport and exercise science
  • General Introduction
  • Stages of Meta-Analysis
  • Key Elements of Meta-Analysis
  • Goals of Meta-Analysis
  • Utility of the Methodology in Sport and Exercise Science
  • The Substantive Example
  • The Synergy
  • Univariate Meta-Analysis
  • Multivariate Meta-Analysis
  • Summary
  • Acknowledgment
  • References
  • Chapter 12 Reliability and stability of variables/instruments used in sport science and sport medicine
  • Introduction
  • A. Assessment of Test-Retest Agreement Using Interval/Ratio Data
  • A Worked Example Using the Test-Retest Differences of the Biceps Skinfold Measurements
  • B. Utility of the Assessment of Test-Retest Stability Using Categorical/Likert-Type Data
  • The Substantive Example
  • Utility of the Test-Retest Stability Using Nonparametric Data
  • The Synergy
  • Utility of the Item by Item Approach to Test-Retest Stability
  • The Synergy
  • Summary
  • References
  • Chapter 13 Sample size determination and power estimation in structural equation modeling
  • General Introduction
  • Power
  • Power Analysis in SEM
  • Utility of the Methodology in Sport and Exercise Science
  • Power Analysis Regarding Model-Data Fit: An Introduction
  • Power Analysis Regarding Focal Parameters: An Introduction
  • The Substantive Example
  • Bifactor Model in Sport and Exercise Science
  • Bifactor Model and the PETES
  • The Synergy
  • Power Analysis Regarding Model-Data Fit: A Demonstration
  • Power Analysis Regarding Focal Parameters: A Demonstration
  • Summary
  • References
  • Index
  • EULA

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