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

"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

[1]  H. Marsh,et al.  An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. , 1996 .

[2]  Herbert W. Marsh,et al.  Longitudinal confirmatory factor analysis: Common, time‐specific, item‐specific, and residual‐error components of variance , 1994 .

[3]  Elazar J. Pedhazur,et al.  Measurement, Design, and Analysis: An Integrated Approach , 1994 .

[4]  Maher M. Abu-Hilal,et al.  The Internal/External Frame of Reference Model of Self-Concept and Achievement Relations , 2015 .

[5]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[6]  H W Marsh,et al.  Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis. , 1998, Multivariate behavioral research.

[7]  Diana Adler,et al.  Using Multivariate Statistics , 2016 .

[8]  Thierno M. O. Diallo,et al.  Power of Latent Growth Curve Models to Detect Piecewise Linear Trajectories , 2015 .

[9]  Todd D. Little,et al.  A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and MACS Models , 2006 .

[10]  R. Q. Bell,et al.  Convergence: an accelerated longitudinal approach. , 1953, Child development.

[11]  Kenneth A. Bollen,et al.  Latent curve models: A structural equation perspective , 2005 .

[12]  H. Marsh,et al.  Physical Self Description Questionnaire: stability and discriminant validity. , 1996, Research quarterly for exercise and sport.

[13]  Ulrich Trautwein,et al.  A new look at the big five factor structure through exploratory structural equation modeling. , 2010, Psychological assessment.

[14]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[15]  A. Morin,et al.  Statistical power of latent growth curve models to detect quadratic growth , 2014, Behavior research methods.

[16]  Nilam Ram,et al.  Using simple and complex growth models to articulate developmental change: Matching theory to method , 2007 .

[17]  Karl G. Jöreskog,et al.  LISREL 7: A guide to the program and applications , 1988 .

[18]  H. Marsh.  The measurement of physical self-concept: A construct validation approach. , 1997 .

[19]  Lena Osterhagen,et al.  Multiple Imputation For Nonresponse In Surveys , 2016 .

[20]  F. Chen.  Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance , 2007 .

[21]  H. Marsh,et al.  Multidimensional Self-concepts of Elite Athletes: How Do They Differ from the General Population? , 1995 .

[22]  Sabrina Eberhart,et al.  Applied Missing Data Analysis , 2016 .

[23]  H. Marsh,et al.  Self-belief does make a difference: A reciprocal effects model of the causal ordering of physical self-concept and gymnastics performance , 2006, Journal of sports sciences.

[24]  A. Feingold,et al.  Gender differences in personality: a meta-analysis. , 1994, Psychological bulletin.

[25]  H. Marsh,et al.  Structure, stability, and development of young children's self-concepts: a multicohort-multioccasion study. , 1998, Child development.

[26]  J. Dusek,et al.  The development of the self-concept during the adolescent years. , 1981, Monographs of the Society for Research in Child Development.

[27]  W. Meredith.  Measurement invariance, factor analysis and factorial invariance , 1993 .

[28]  H. Marsh,et al.  Physical self-concept , 2012 .

[29]  H. Marsh,et al.  Separation of Competency and Affect Components of Multiple Dimensions of Academic Self-Concept: A Developmental Perspective. , 1999 .

[30]  H. Marsh,et al.  Why item parcels are (almost) never appropriate: two wrongs do not make a right--camouflaging misspecification with item parcels in CFA models. , 2013, Psychological methods.

[31]  R. Mccall,et al.  The Genetic and Environmental Origins of Learning Abilities and Disabilities in the Early School , 2007, Monographs of the Society for Research in Child Development.

[32]  H. Marsh,et al.  Applications of latent-variable models in educational psychology: The need for methodological-substantive synergies. , 2007 .

[33]  H. Marsh,et al.  The Longitudinal Interplay of Adolescents' Self-Esteem and Body Image: A Conditional Autoregressive Latent Trajectory Analysis , 2011, Multivariate behavioral research.

[34]  H. Marsh,et al.  Assessing Goodness of Fit: Is Parsimony Always Desirable? , 1996 .

[35]  S G West,et al.  Putting the individual back into individual growth curves. , 2000, Psychological methods.

[36]  T. Croudace,et al.  Comparing Growth Trajectories of Risk Behaviors From Late Adolescence Through Young Adulthood , 2012, Developmental psychology.

[37]  H. Marsh,et al.  School life and adolescents' self-esteem trajectories. , 2013, Child development.

[38]  H. Marsh.  Self-Concepts of Young Children Aged 5 to 8: Their Measurement and Multidimensional Structure. , 1990 .

[39]  John W. Graham,et al.  Missing Data: Analysis and Design , 2012 .

[40]  W..  Construct Validity of Physical Self-Description Questionnaire Responses : Relations to External Criteria , 2007 .

[41]  E. A. Fleishman,et al.  The structure and measurement of physical fitness , 1964 .

[42]  D. Gerstorf,et al.  Time-structured and net intraindividual variability: tools for examining the development of dynamic characteristics and processes. , 2009, Psychology and aging.

[43]  J. Eccles,et al.  Age and gender differences in children's self- and task perceptions during elementary school. , 1993, Child development.

[44]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[45]  B. Byrne.  Measuring Self-Concept Across the Life Span: Issues and Instrumentation , 1996 .

[46]  Ulrich Trautwein,et al.  Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Exploratory Structural Equation Modeling, Integrating Cfa and Efa: Application to Students' Evaluations of University Teaching , 2022 .

[47]  Patsy Tremayne,et al.  Physical Self-Description Questionnaire: Psychometric properties and a multitrait-multimethod analysis of relations to existing instruments. , 1994 .

[48]  William Meredith,et al.  Rotation to achieve factorial invariance , 1964 .

[49]  H. Marsh.  Confirmatory factor analysis models of factorial invariance: A multifaceted approach , 1994 .

[50]  Andrew J. Martin,et al.  Methodological Measurement Fruitfulness of Exploratory Structural Equation Modeling (ESEM): New Approaches to Key Substantive Issues in Motivation and Engagement , 2011 .

[51]  David E. Booth,et al.  Analysis of Incomplete Multivariate Data , 2000, Technometrics.

[52]  Kenneth A Bollen,et al.  The role of coding time in estimating and interpreting growth curve models. , 2004, Psychological methods.

[53]  Herbert W Marsh,et al.  Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis. , 2014, Annual review of clinical psychology.

[54]  John R. Nesselroade,et al.  Longitudinal Research in the Study of Behavior and Development , 1979 .

[55]  R. Wylie.  Measures of Self-Concept , 1989 .

[56]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[57]  H. Marsh,et al.  Big-fish-little-pond social comparison and local dominance effects: Integrating new statistical models, methodology, design, theory and substantive implications , 2014 .

[58]  H W Marsh,et al.  The multidimensional structure of physical fitness: invariance over gender and age. , 1993, Research quarterly for exercise and sport.

[59]  Benjamin Nagengast,et al.  Measurement invariance of big-five factors over the life span: ESEM tests of gender, age, plasticity, maturity, and la dolce vita effects. , 2013, Developmental psychology.

[60]  H. Marsh,et al.  If one goes up the other must come down: Examining ipsative relationships between math and English self-concept trajectories across high school. , 2015, The British journal of educational psychology.

[61]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[62]  R. Vandenberg,et al.  A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .

[63]  Adel S. Abduljabbar,et al.  The Big-Fish-Little-Pond Effect in Mathematics , 2014 .

[64]  Andrew J. Martin,et al.  Introducing a short version of the physical self description questionnaire: new strategies, short-form evaluative criteria, and applications of factor analyses. , 2010, Journal of sport & exercise psychology.

[65]  H. Marsh.  Application of Confirmatory Factor Analysis and Structural Equation Modeling in Sport and Exercise Psychology , 2012 .