{"product_id":"an-introduction-to-intermediate-and-advanced-statistical-analyses-for-sport-and-exercise-scientists-isbn-9781118962053","title":"An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists","description":"\u003cp\u003e\"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.\"\u003cbr\u003e\u003cb\u003e—Robert Eklund, School of Sport, University of Stirling, UK\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"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 \u0026amp; moderation analyses, to uncover cascades of relations among subsystems contributing to motor performance, over time. This text can facilitate that outcome.\"\u003cbr\u003e\u003cb\u003e\u003cb\u003e—\u003c\/b\u003eBeverly D. Ulrich, School of Kinesiology, University of Michigan, USA\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"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.\"\u003cbr\u003e\u003cb\u003e—\u003c\/b\u003e\u003cb\u003eGregory R. Hancock, University of Maryland and Center for Integrated Latent Variable Research (CILVR), USA\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbout the editors xiii\u003c\/p\u003e \u003cp\u003eList of contributors xv\u003c\/p\u003e \u003cp\u003eForeword xix\u003c\/p\u003e \u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Factorial ANOVA and MANOVA 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 1\u003c\/p\u003e \u003cp\u003eHypothesis Testing 2\u003c\/p\u003e \u003cp\u003eAlpha Level 2\u003c\/p\u003e \u003cp\u003eAssumptions 3\u003c\/p\u003e \u003cp\u003eFurther Considerations 4\u003c\/p\u003e \u003cp\u003eUtility in Sport and Exercise Sciences 6\u003c\/p\u003e \u003cp\u003eTreatment Conditions 6\u003c\/p\u003e \u003cp\u003eExisting Conditions 6\u003c\/p\u003e \u003cp\u003eIndividual Characteristics 7\u003c\/p\u003e \u003cp\u003eRecent Usage 7\u003c\/p\u003e \u003cp\u003eThe Substantive Example 7\u003c\/p\u003e \u003cp\u003eUnivariate: Factorial ANOVA 8\u003c\/p\u003e \u003cp\u003eUnivariate Assumptions 8\u003c\/p\u003e \u003cp\u003eThe Synergy 10\u003c\/p\u003e \u003cp\u003eFactorial ANOVA Analysis Plan 10\u003c\/p\u003e \u003cp\u003eExample of a Write]Up Compatible with the APA Publication Manual 11\u003c\/p\u003e \u003cp\u003eFactorial MANOVA Analysis Plan 13\u003c\/p\u003e \u003cp\u003eExample of a Write]Up Compatible with the APA Publication Manual 13\u003c\/p\u003e \u003cp\u003eSummary 16\u003c\/p\u003e \u003cp\u003eAcknowledgment 18\u003c\/p\u003e \u003cp\u003eReferences 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Repeated measures ANOVA and MANOVA 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 19\u003c\/p\u003e \u003cp\u003eBetween] versus Within]Subjects Variables 19\u003c\/p\u003e \u003cp\u003eHypothesis Testing 20\u003c\/p\u003e \u003cp\u003eAssumptions 20\u003c\/p\u003e \u003cp\u003eFurther Considerations 21\u003c\/p\u003e \u003cp\u003eUtility in Sport and Exercise Sciences 22\u003c\/p\u003e \u003cp\u003eMultiple Treatment Conditions 23\u003c\/p\u003e \u003cp\u003eMultiple Assessments 23\u003c\/p\u003e \u003cp\u003eLongitudinal Studies 23\u003c\/p\u003e \u003cp\u003eRecent Usage 24\u003c\/p\u003e \u003cp\u003eThe Substantive Example 24\u003c\/p\u003e \u003cp\u003eUnivariate: Repeated Measures ANOVA 24\u003c\/p\u003e \u003cp\u003eUnivariate Assumptions 25\u003c\/p\u003e \u003cp\u003eMultivariate: Repeated Measures MANOVA 26\u003c\/p\u003e \u003cp\u003eMultivariate Assumptions 26\u003c\/p\u003e \u003cp\u003eThe Synergy 27\u003c\/p\u003e \u003cp\u003eRepeated Measures ANOVA Analysis Plan 27\u003c\/p\u003e \u003cp\u003eExample of a Write]Up Compatible with the APA Publication Manual 29\u003c\/p\u003e \u003cp\u003eRepeated Measures MANOVA Analysis Plan 29\u003c\/p\u003e \u003cp\u003eExample of a Write]Up Compatible with the APA Publication Manual 31\u003c\/p\u003e \u003cp\u003eSummary 32\u003c\/p\u003e \u003cp\u003eAcknowledgment 34\u003c\/p\u003e \u003cp\u003eReferences 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Mediation and moderation via regression analysis 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 35\u003c\/p\u003e \u003cp\u003eUtility of the Methods in Sport and Exercise Science 36\u003c\/p\u003e \u003cp\u003eThe Substantive Example 38\u003c\/p\u003e \u003cp\u003eMediation 38\u003c\/p\u003e \u003cp\u003eThe Synergy 38\u003c\/p\u003e \u003cp\u003eMediation 38\u003c\/p\u003e \u003cp\u003eThe Substantive Example 44\u003c\/p\u003e \u003cp\u003eModeration 44\u003c\/p\u003e \u003cp\u003eThe Synergy 45\u003c\/p\u003e \u003cp\u003eModeration 45\u003c\/p\u003e \u003cp\u003eSummary 53\u003c\/p\u003e \u003cp\u003eReferences 55\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Item response theory and its applications in Kinesiology 57\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 57\u003c\/p\u003e \u003cp\u003eWhat Is IRT? 59\u003c\/p\u003e \u003cp\u003eOther Commonly Used IRT Models 60\u003c\/p\u003e \u003cp\u003eAssumptions Related to IRT 62\u003c\/p\u003e \u003cp\u003eUnidimensionality 62\u003c\/p\u003e \u003cp\u003eLocal Independence 62\u003c\/p\u003e \u003cp\u003eAddressing Model]Data Fit 62\u003c\/p\u003e \u003cp\u003eInspecting Model Assumptions 63\u003c\/p\u003e \u003cp\u003eInspecting Expected Model Features 63\u003c\/p\u003e \u003cp\u003eInspecting Overall Model]Data Fit 64\u003c\/p\u003e \u003cp\u003eComputer Simulation for Model]Data Fit Testing 64\u003c\/p\u003e \u003cp\u003eUnique Features and Advantages of IRT 65\u003c\/p\u003e \u003cp\u003eEstimation Invariance 65\u003c\/p\u003e \u003cp\u003eCommon Metric Scale 65\u003c\/p\u003e \u003cp\u003eItem and Test Information 66\u003c\/p\u003e \u003cp\u003eTest Relative Efficiency 68\u003c\/p\u003e \u003cp\u003eGlobal “Reliability” Is no Longer a Concern 69\u003c\/p\u003e \u003cp\u003eItem Bank and IRT]Based Test Construction 69\u003c\/p\u003e \u003cp\u003eParameter Estimation and Software 71\u003c\/p\u003e \u003cp\u003eUtility of the Methodology in Kinesiology 71\u003c\/p\u003e \u003cp\u003eIRT Limitations and Future Direction 72\u003c\/p\u003e \u003cp\u003eConclusion 73\u003c\/p\u003e \u003cp\u003eReferences 74\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Introduction to factor analysis and structural equation modeling 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 79\u003c\/p\u003e \u003cp\u003eUtility of the Method in Sport and Exercise Science 80\u003c\/p\u003e \u003cp\u003eTerminology and Methodology 83\u003c\/p\u003e \u003cp\u003eEvaluating Model Fit 86\u003c\/p\u003e \u003cp\u003eInterpreting Parameter Estimates 88\u003c\/p\u003e \u003cp\u003eThe Substantive Example 89\u003c\/p\u003e \u003cp\u003eThe Synergy 91\u003c\/p\u003e \u003cp\u003eEFA: Establishing the Factor Structure 91\u003c\/p\u003e \u003cp\u003eCFA: Testing the Measurement Models 93\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Adding the Regression Paths 96\u003c\/p\u003e \u003cp\u003eSummary 98\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Invariance testing across samples and time: Cohort]sequence analysis of perceived body composition 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction to the Importance of Measurement Invariance 102\u003c\/p\u003e \u003cp\u003eCohort]Sequential Designs: Longitudinal Invariance across Samples and Time 106\u003c\/p\u003e \u003cp\u003eSubstantive Application: Physical Self]Concept 107\u003c\/p\u003e \u003cp\u003eMethodology 111\u003c\/p\u003e \u003cp\u003eThe PSDQ Instrument 111\u003c\/p\u003e \u003cp\u003eStatistical Analyses 111\u003c\/p\u003e \u003cp\u003eGoodness of Fit 112\u003c\/p\u003e \u003cp\u003eResults 113\u003c\/p\u003e \u003cp\u003eBasic Cohort]Sequence Model: Four Cohort Groups and Four Waves 113\u003c\/p\u003e \u003cp\u003eCohort]Sequence Design of Multiple Indicators, Multiple Causes Models 115\u003c\/p\u003e \u003cp\u003eUse of Model Constraint with Orthogonal Polynomial Contrasts to Evaluate Cohort Sequence and MIMIC Latent Means 116\u003c\/p\u003e \u003cp\u003eUse of Latent Growth Curve Models to Evaluate Stability\/Change over Time 119\u003c\/p\u003e \u003cp\u003eLGC Results 123\u003c\/p\u003e \u003cp\u003eSummary, Implications, and Further Directions 123\u003c\/p\u003e \u003cp\u003eMethodological Implications, Limitations, and Further Directions 123\u003c\/p\u003e \u003cp\u003eReferences 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Cross]lagged structural equation modeling and latent growth modeling 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 131\u003c\/p\u003e \u003cp\u003eA Theoretical Framework for the Study of Change 132\u003c\/p\u003e \u003cp\u003eUtility of the Method in Sport and Exercise Science 132\u003c\/p\u003e \u003cp\u003eAnalysis of Change 132\u003c\/p\u003e \u003cp\u003eThe Substantive Example 134\u003c\/p\u003e \u003cp\u003eTheoretical Background 134\u003c\/p\u003e \u003cp\u003eThe Data: Participants and Measurement 134\u003c\/p\u003e \u003cp\u003eThe Synergy 135\u003c\/p\u003e \u003cp\u003eCLPM 135\u003c\/p\u003e \u003cp\u003eCLPM Example 137\u003c\/p\u003e \u003cp\u003eLatent Growth Modeling 140\u003c\/p\u003e \u003cp\u003eLGM Example 141\u003c\/p\u003e \u003cp\u003eModel 2a: Unconditional LGM 143\u003c\/p\u003e \u003cp\u003eModel 2b: Conditional LGM 145\u003c\/p\u003e \u003cp\u003eModel 2c: Unconditional LGM with TVCs 145\u003c\/p\u003e \u003cp\u003eModel 3: Parallel Process LGM 146\u003c\/p\u003e \u003cp\u003eModel 4: Second]Order LGM 148\u003c\/p\u003e \u003cp\u003eSummary 150\u003c\/p\u003e \u003cp\u003eReferences 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Exploratory structural equation modeling and Bayesian estimation 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 155\u003c\/p\u003e \u003cp\u003eUtility of the Methods in Sport and Exercise Science 156\u003c\/p\u003e \u003cp\u003eThe Substantive Example(s) 159\u003c\/p\u003e \u003cp\u003eThe Motivational Correlates of Mentally Tough Behavior 159\u003c\/p\u003e \u003cp\u003eDeveloping Synergies through Statistical Modeling 161\u003c\/p\u003e \u003cp\u003eESEM 161\u003c\/p\u003e \u003cp\u003eBayesian Estimation 168\u003c\/p\u003e \u003cp\u003eSummary 179\u003c\/p\u003e \u003cp\u003eReferences 180\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 A gentle introduction to mixture modeling using physical fitness performance data 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 183\u003c\/p\u003e \u003cp\u003eUtility of the Method in Sport and Exercise Science 186\u003c\/p\u003e \u003cp\u003eThe Substantive Example(s) 187\u003c\/p\u003e \u003cp\u003eClass Enumeration in Mixture Models 188\u003c\/p\u003e \u003cp\u003eThe Estimation of Mixture Models 190\u003c\/p\u003e \u003cp\u003eThe Synergy 190\u003c\/p\u003e \u003cp\u003eLPA of Grade 5 Students and Tests of Invariance across Gender Groups 190\u003c\/p\u003e \u003cp\u003eInclusion of Covariates in LPA Solutions 195\u003c\/p\u003e \u003cp\u003eLTA 196\u003c\/p\u003e \u003cp\u003eMixture Regression Analyses of Grade 5 Students 198\u003c\/p\u003e \u003cp\u003eLatent Basis Growth Mixture Analyses: Cardiovascular Fitness 202\u003c\/p\u003e \u003cp\u003ePiecewise Growth Mixture Analyses: Physical Strength 203\u003c\/p\u003e \u003cp\u003eSummary 204\u003c\/p\u003e \u003cp\u003eAcknowledgments 205\u003c\/p\u003e \u003cp\u003eReferences 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Multilevel (structural equation) modeling 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 211\u003c\/p\u003e \u003cp\u003eMultilevel Structural Equation Modeling 212\u003c\/p\u003e \u003cp\u003eUtility of the Methodology in Sport and Exercise Science 214\u003c\/p\u003e \u003cp\u003eThe Substantive Examples 215\u003c\/p\u003e \u003cp\u003eCoaching Competency–Collective Efficacy–Team Performance: 1–1–2 216\u003c\/p\u003e \u003cp\u003eAction Planning Intervention–Physical Activity Action Plans–Physical Activity: 2–1–1 217\u003c\/p\u003e \u003cp\u003eThe Synergy 218\u003c\/p\u003e \u003cp\u003eCoaching Competency–Collective Efficacy–Team Performance: 1–1–2 219\u003c\/p\u003e \u003cp\u003eAction Planning Intervention–Physical Activity Action Plans–Physical Activity: 2–1–1 222\u003c\/p\u003e \u003cp\u003eSummary 229\u003c\/p\u003e \u003cp\u003eReferences 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Application of meta]analysis in sport and exercise science 233\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 233\u003c\/p\u003e \u003cp\u003eStages of Meta]Analysis 233\u003c\/p\u003e \u003cp\u003eKey Elements of Meta]Analysis 234\u003c\/p\u003e \u003cp\u003eGoals of Meta]Analysis 236\u003c\/p\u003e \u003cp\u003eUtility of the Methodology in Sport and Exercise Science 238\u003c\/p\u003e \u003cp\u003eThe Substantive Example 238\u003c\/p\u003e \u003cp\u003eThe Synergy 241\u003c\/p\u003e \u003cp\u003eUnivariate Meta]Analysis 241\u003c\/p\u003e \u003cp\u003eMultivariate Meta]Analysis 245\u003c\/p\u003e \u003cp\u003eSummary 249\u003c\/p\u003e \u003cp\u003eAcknowledgment 251\u003c\/p\u003e \u003cp\u003eReferences 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Reliability and stability of variables\/instruments used in sport science and sport medicine 255\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 255\u003c\/p\u003e \u003cp\u003eA. Assessment of Test–Retest Agreement Using Interval\/Ratio Data 256\u003c\/p\u003e \u003cp\u003eA Worked Example Using the Test–Retest Differences of the Biceps Skinfold Measurements 257\u003c\/p\u003e \u003cp\u003eB. Utility of the Assessment of Test–Retest Stability Using Categorical\/Likert]Type Data 260\u003c\/p\u003e \u003cp\u003eThe Substantive Example 261\u003c\/p\u003e \u003cp\u003eUtility of the Test–Retest Stability Using Nonparametric Data 261\u003c\/p\u003e \u003cp\u003eThe Synergy 262\u003c\/p\u003e \u003cp\u003eUtility of the Item by Item Approach to Test–Retest Stability 263\u003c\/p\u003e \u003cp\u003eThe Synergy 263\u003c\/p\u003e \u003cp\u003eSummary 265\u003c\/p\u003e \u003cp\u003eReferences 266\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Sample size determination and power estimation in structural equation modeling 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneral Introduction 267\u003c\/p\u003e \u003cp\u003ePower 268\u003c\/p\u003e \u003cp\u003ePower Analysis in SEM 268\u003c\/p\u003e \u003cp\u003eUtility of the Methodology in Sport and Exercise Science 269\u003c\/p\u003e \u003cp\u003ePower Analysis Regarding Model]Data Fit: An Introduction 269\u003c\/p\u003e \u003cp\u003ePower Analysis Regarding Focal Parameters: An Introduction 270\u003c\/p\u003e \u003cp\u003eThe Substantive Example 272\u003c\/p\u003e \u003cp\u003eBifactor Model in Sport and Exercise Science 272\u003c\/p\u003e \u003cp\u003eBifactor Model and the PETES 273\u003c\/p\u003e \u003cp\u003eThe Synergy 275\u003c\/p\u003e \u003cp\u003ePower Analysis Regarding Model]Data Fit: A Demonstration 276\u003c\/p\u003e \u003cp\u003ePower Analysis Regarding Focal Parameters: A Demonstration 278\u003c\/p\u003e \u003cp\u003eSummary 281\u003c\/p\u003e \u003cp\u003eReferences 282\u003c\/p\u003e \u003cp\u003eIndex 285\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNikos Ntoumanis\u003c\/b\u003e, 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNicholas Daniel Myers\u003c\/b\u003e, 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAn essential guide to modern statistical methods for sport and exercise scientists\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKey features:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides a wide variety of intermediate to advanced statistical tests with all examples being specific to sport and exercise sciences\u003c\/li\u003e \u003cli\u003eEach chapter has step-by-step explanations of the required procedures and a non-technical interpretation of the findings\u003c\/li\u003e \u003cli\u003eWritten by a diverse international group of experts in quantitative methodology\u003c\/li\u003e \u003cli\u003eA 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\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988726792421,"sku":"NP9781118962053","price":70.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118962053.jpg?v=1761781350","url":"https:\/\/k12savings.com\/products\/an-introduction-to-intermediate-and-advanced-statistical-analyses-for-sport-and-exercise-scientists-isbn-9781118962053","provider":"K12savings","version":"1.0","type":"link"}