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Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists
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Main description:

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.


 


Back cover:

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.


 


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


The Synergy 91


EFA: Establishing the Factor Structure 91


CFA: Testing the Measurement Models 93


Structural Equation Modeling: Adding the Regression Paths 96


Summary 98


References 99


6 Invariance testing across samples and time: Cohort ]sequence analysis of perceived body composition 101


General Introduction to the Importance of Measurement Invariance 102


Cohort ]Sequential Designs: Longitudinal Invariance across Samples and Time 106


Substantive Application: Physical Self ]Concept 107


Methodology 111


The PSDQ Instrument 111


Statistical Analyses 111


Goodness of Fit 112


Results 113


Basic Cohort ]Sequence Model: Four Cohort Groups and Four Waves 113


Cohort ]Sequence Design of Multiple Indicators, Multiple Causes Models 115


Use of Model Constraint with Orthogonal Polynomial Contrasts to Evaluate Cohort Sequence and MIMIC Latent Means 116


Use of Latent Growth Curve Models to Evaluate Stability/Change over Time 119


LGC Results 123


Summary, Implications, and Further Directions 123


Methodological Implications, Limitations, and Further Directions 123


References 125


7 Cross ]lagged structural equation modeling and latent growth modeling 131


General Introduction 131


A Theoretical Framework for the Study of Change 132


Utility of the Method in Sport and Exercise Science 132


Analysis of Change 132


The Substantive Example 134


Theoretical Background 134


The Data: Participants and Measurement 134


The Synergy 135


CLPM 135


CLPM Example 137


Latent Growth Modeling 140


LGM Example 141


Model 2a: Unconditional LGM 143


Model 2b: Conditional LGM 145


Model 2c: Unconditional LGM with TVCs 145


Model 3: Parallel Process LGM 146


Model 4: Second ]Order LGM 148


Summary 150


References 151


8 Exploratory structural equation modeling and Bayesian estimation 155


General Introduction 155


Utility of the Methods in Sport and Exercise Science 156


The Substantive Example(s) 159


The Motivational Correlates of Mentally Tough Behavior 159


Developing Synergies through Statistical Modeling 161


ESEM 161


Bayesian Estimation 168


Summary 179


References 180


9 A gentle introduction to mixture modeling using physical fitness performance data 183


General Introduction 183


Utility of the Method in Sport and Exercise Science 186


The Substantive Example(s) 187


Class Enumeration in Mixture Models 188


The Estimation of Mixture Models 190


The Synergy 190


LPA of Grade 5 Students and Tests of Invariance across Gender Groups 190


Inclusion of Covariates in LPA Solutions 195


LTA 196


Mixture Regression Analyses of Grade 5 Students 198


Latent Basis Growth Mixture Analyses: Cardiovascular Fitness 202


Piecewise Growth Mixture Analyses: Physical Strength 203


Summary 204


Acknowledgments 205


References 206


10 Multilevel (structural equation) modeling 211


General Introduction 211


Multilevel Structural Equation Modeling 212


Utility of the Methodology in Sport and Exercise Science 214


The Substantive Examples 215


Coaching Competency Collective Efficacy Team Performance: 1 1 2 216


Action Planning Intervention Physical Activity Action Plans Physical Activity: 2 1 1 217


The Synergy 218


Coaching Competency Collective Efficacy Team Performance: 1 1 2 219


Action Planning Intervention Physical Activity Action Plans Physical Activity: 2 1 1 222


Summary 229


References 230


11 Application of meta ]analysis in sport and exercise science 233


General Introduction 233


Stages of Meta ]Analysis 233


Key Elements of Meta ]Analysis 234


Goals of Meta ]Analysis 236


Utility of the Methodology in Sport and Exercise Science 238


The Substantive Example 238


The Synergy 241


Univariate Meta ]Analysis 241


Multivariate Meta ]Analysis 245


Summary 249


Acknowledgment 251


References 251


12 Reliability and stability of variables/instruments used in sport science and sport medicine 255


Introduction 255


A. Assessment of Test Retest Agreement Using Interval/Ratio Data 256


A Worked Example Using the Test Retest Differences of the Biceps Skinfold Measurements 257


B. Utility of the Assessment of Test Retest Stability Using Categorical/Likert ]Type Data 260


The Substantive Example 261


Utility of the Test Retest Stability Using Nonparametric Data 261


The Synergy 262


Utility of the Item by Item Approach to Test Retest Stability 263


The Synergy 263


Summary 265


References 266


13 Sample size determination and power estimation in structural equation modeling 267


General Introduction 267


Power 268


Power Analysis in SEM 268


Utility of the Methodology in Sport and Exercise Science 269


Power Analysis Regarding Model ]Data Fit: An Introduction 269


Power Analysis Regarding Focal Parameters: An Introduction 270


The Substantive Example 272


Bifactor Model in Sport and Exercise Science 272


Bifactor Model and the PETES 273


The Synergy 275


Power Analysis Regarding Model ]Data Fit: A Demonstration 276


Power Analysis Regarding Focal Parameters: A Demonstration 278


Summary 281


References 282


Index 285


PRODUCT DETAILS

ISBN-13: 9781118962046
Publisher: John Wiley & Sons Ltd (Wiley–Blackwell)
Publication date: January, 2016
Pages: 312
Dimensions: 155.00 x 234.00 x 19.95

Subcategories: Diseases and Disorders, Sports Medicine