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Applied structural equation modelling for researchers and practitioners : using R and Stata for behavioural research / / by Indranarain Ramlall
| Applied structural equation modelling for researchers and practitioners : using R and Stata for behavioural research / / by Indranarain Ramlall |
| Autore | Ramlall Indranarain |
| Pubbl/distr/stampa | Bingley, England : , : Emerald, , 2017 |
| Descrizione fisica | 1 online resource (152 pages) : illustrations |
| Disciplina | 507.2 |
| Soggetto topico |
Structural equation modeling
R (Computer program language) Education - Teaching Methods & Materials / Social Science Sociology |
| ISBN | 1-78635-882-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Definition of SEM -- Types of SEM -- Benefits of SEM -- Drawbacks of SEM -- Steps in structural equation modelling -- Model specification: path diagram in SEM -- Model identification -- Model estimation -- Model fit evaluation -- Model modification -- Model cross-validation -- Parameter testing -- Reduced=form version of SEM -- Multiple indicators multiple causes model of SEM -- Practical issues to consider when implementing SEM -- Review questions -- Enlightening questions on SEM -- Applied structural equation modelling using R -- Applied structural equation modelling suing STATA. |
| Record Nr. | UNINA-9910794753503321 |
Ramlall Indranarain
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| Bingley, England : , : Emerald, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic and advanced Bayesian structural equation modeling [[electronic resource] ] : with applications in the medical and behavioral sciences / / Sik-Yum Lee and Xin-Yuan Song
| Basic and advanced Bayesian structural equation modeling [[electronic resource] ] : with applications in the medical and behavioral sciences / / Sik-Yum Lee and Xin-Yuan Song |
| Autore | Lee Sik-Yum |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina | 519.5/3 |
| Altri autori (Persone) | SongXin-Yuan |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Structural equation modeling
Bayesian statistical decision theory |
| ISBN |
1-118-35887-2
1-280-87995-5 9786613721266 1-118-35880-5 1-118-35888-0 1-118-35943-7 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Basic and Advanced Bayesian Structural Equation Modeling; Contents; About the authors; Preface; 1 Introduction; 1.1 Observed and latent variables; 1.2 Structural equation model; 1.3 Objectives of the book; 1.4 The Bayesian approach; 1.5 Real data sets and notation; Appendix 1.1: Information on real data sets; References; 2 Basic concepts and applications of structural equation models; 2.1 Introduction; 2.2 Linear SEMs; 2.2.1 Measurement equation; 2.2.2 Structural equation and one extension; 2.2.3 Assumptions of linear SEMs; 2.2.4 Model identification; 2.2.5 Path diagram
2.3 SEMs with fixed covariates 2.3.1 The model; 2.3.2 An artificial example; 2.4 Nonlinear SEMs; 2.4.1 Basic nonlinear SEMs; 2.4.2 Nonlinear SEMs with fixed covariates; 2.4.3 Remarks; 2.5 Discussion and conclusions; References; 3 Bayesian methods for estimating structural equation models; 3.1 Introduction; 3.2 Basic concepts of the Bayesian estimation and prior distributions; 3.2.1 Prior distributions; 3.2.2 Conjugate prior distributions in Bayesian analyses of SEMs; 3.3 Posterior analysis using Markov chain Monte Carlo methods; 3.4 Application of Markov chain Monte Carlo methods 3.5 Bayesian estimation via WinBUGS Appendix 3.1: The gamma, inverted gamma, Wishart, and inverted Wishart distributions and their characteristics; Appendix 3.2: The Metropolis-Hastings algorithm; Appendix 3.3: Conditional distributions [Ω|Y,θ] and [θ|Y,Ω]; Appendix 3.4: Conditional distributions [Ω|Y,θ] and [θ|Y,Ω] in nonlinear SEMs with covariates; Appendix 3.5: WinBUGS code; Appendix 3.6: R2WinBUGS code; References; 4 Bayesian model comparison and model checking; 4.1 Introduction; 4.2 Bayes factor; 4.2.1 Path sampling; 4.2.2 A simulation study; 4.3 Other model comparison statistics 4.3.1 Bayesian information criterion and Akaike information criterion 4.3.2 Deviance information criterion; 4.3.3 Lν-measure; 4.4 Illustration; 4.5 Goodness of fit and model checking methods; 4.5.1 Posterior predictive p-value; 4.5.2 Residual analysis; Appendix 4.1: WinBUGS code; Appendix 4.2: R code in Bayes factor example; Appendix 4.3: Posterior predictive p-value for model assessment; References; 5 Practical structural equation models; 5.1 Introduction; 5.2 SEMs with continuous and ordered categorical variables; 5.2.1 Introduction; 5.2.2 The basic model; 5.2.3 Bayesian analysis 5.2.4 Application: Bayesian analysis of quality of life data 5.2.5 SEMs with dichotomous variables; 5.3 SEMs with variables from exponential family distributions; 5.3.1 Introduction; 5.3.2 The SEM framework with exponential family distributions; 5.3.3 Bayesian inference; 5.3.4 Simulation study; 5.4 SEMs with missing data; 5.4.1 Introduction; 5.4.2 SEMs with missing data that are MAR; 5.4.3 An illustrative example; 5.4.4 Nonlinear SEMs with nonignorable missing data; 5.4.5 An illustrative real example Appendix 5.1: Conditional distributions and implementation of the MH algorithm for SEMs with continuous and ordered categorical variables |
| Record Nr. | UNINA-9910141259703321 |
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Lee Sik-Yum
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| Hoboken, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences / / Sik-Yum Lee and Xin-Yuan Song
| Basic and advanced Bayesian structural equation modeling : with applications in the medical and behavioral sciences / / Sik-Yum Lee and Xin-Yuan Song |
| Autore | Lee Sik-Yum |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina | 519.5/3 |
| Altri autori (Persone) | SongXin-Yuan |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Structural equation modeling
Bayesian statistical decision theory |
| ISBN |
1-118-35887-2
1-280-87995-5 9786613721266 1-118-35880-5 1-118-35888-0 1-118-35943-7 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Basic and Advanced Bayesian Structural Equation Modeling; Contents; About the authors; Preface; 1 Introduction; 1.1 Observed and latent variables; 1.2 Structural equation model; 1.3 Objectives of the book; 1.4 The Bayesian approach; 1.5 Real data sets and notation; Appendix 1.1: Information on real data sets; References; 2 Basic concepts and applications of structural equation models; 2.1 Introduction; 2.2 Linear SEMs; 2.2.1 Measurement equation; 2.2.2 Structural equation and one extension; 2.2.3 Assumptions of linear SEMs; 2.2.4 Model identification; 2.2.5 Path diagram
2.3 SEMs with fixed covariates 2.3.1 The model; 2.3.2 An artificial example; 2.4 Nonlinear SEMs; 2.4.1 Basic nonlinear SEMs; 2.4.2 Nonlinear SEMs with fixed covariates; 2.4.3 Remarks; 2.5 Discussion and conclusions; References; 3 Bayesian methods for estimating structural equation models; 3.1 Introduction; 3.2 Basic concepts of the Bayesian estimation and prior distributions; 3.2.1 Prior distributions; 3.2.2 Conjugate prior distributions in Bayesian analyses of SEMs; 3.3 Posterior analysis using Markov chain Monte Carlo methods; 3.4 Application of Markov chain Monte Carlo methods 3.5 Bayesian estimation via WinBUGS Appendix 3.1: The gamma, inverted gamma, Wishart, and inverted Wishart distributions and their characteristics; Appendix 3.2: The Metropolis-Hastings algorithm; Appendix 3.3: Conditional distributions [Ω|Y,θ] and [θ|Y,Ω]; Appendix 3.4: Conditional distributions [Ω|Y,θ] and [θ|Y,Ω] in nonlinear SEMs with covariates; Appendix 3.5: WinBUGS code; Appendix 3.6: R2WinBUGS code; References; 4 Bayesian model comparison and model checking; 4.1 Introduction; 4.2 Bayes factor; 4.2.1 Path sampling; 4.2.2 A simulation study; 4.3 Other model comparison statistics 4.3.1 Bayesian information criterion and Akaike information criterion 4.3.2 Deviance information criterion; 4.3.3 Lν-measure; 4.4 Illustration; 4.5 Goodness of fit and model checking methods; 4.5.1 Posterior predictive p-value; 4.5.2 Residual analysis; Appendix 4.1: WinBUGS code; Appendix 4.2: R code in Bayes factor example; Appendix 4.3: Posterior predictive p-value for model assessment; References; 5 Practical structural equation models; 5.1 Introduction; 5.2 SEMs with continuous and ordered categorical variables; 5.2.1 Introduction; 5.2.2 The basic model; 5.2.3 Bayesian analysis 5.2.4 Application: Bayesian analysis of quality of life data 5.2.5 SEMs with dichotomous variables; 5.3 SEMs with variables from exponential family distributions; 5.3.1 Introduction; 5.3.2 The SEM framework with exponential family distributions; 5.3.3 Bayesian inference; 5.3.4 Simulation study; 5.4 SEMs with missing data; 5.4.1 Introduction; 5.4.2 SEMs with missing data that are MAR; 5.4.3 An illustrative example; 5.4.4 Nonlinear SEMs with nonignorable missing data; 5.4.5 An illustrative real example Appendix 5.1: Conditional distributions and implementation of the MH algorithm for SEMs with continuous and ordered categorical variables |
| Record Nr. | UNINA-9910821778903321 |
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Lee Sik-Yum
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| Hoboken, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basics of structural equation modeling / / Geoffrey M. Maruyama
| Basics of structural equation modeling / / Geoffrey M. Maruyama |
| Autore | Maruyama Geoffrey M. |
| Pubbl/distr/stampa | Los Angeles, CA : , : SAGE Publications, Inc., , 1998 |
| Descrizione fisica | 1 online resource (311 pages) : illustrations |
| Disciplina | 519.535 |
| Soggetto topico |
Structural equation modeling
Structural equation modeling - Computer programs |
| ISBN |
1-5063-2035-X
1-4833-4510-6 1-4522-5020-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Background. What does it mean to model hypothesized causal processes with nonexperimental data? -- History and logic of structural equation modeling -- Basic approaches to modeling with single observed measures of theoretical variables. The basics: path analysis and partitioning of variance -- Effects of collinearity on regression and path analysis -- Effects of random and nonrandom error on path models -- Recursive and longitudinal models: where causality goes in more than one direction and where data are collected over time -- Factor analysis and path modeling. Introducing the logic of factor analysis and multiple indicators to path modeling -- Latent variable structural equation models. Putting it all together: latent variable structural equation modeling -- Using latent variable structural equation modeling to examine plausibility of models -- Logic of alternative models and significance tests -- Variations on the basic latent variable structural equation model -- Wrapping up -- Appendix A: A brief introduction to matrix algebra and structural equation modeling. |
| Record Nr. | UNINA-9910791728503321 |
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Maruyama Geoffrey M.
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| Los Angeles, CA : , : SAGE Publications, Inc., , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski
| Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski |
| Autore | Gurski Daniel |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (63 p.) |
| Disciplina | 519.542 |
| Collana | Compact |
| Soggetto topico |
Bayesian statistical decision theory
Structural equation modeling |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-95489-618-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Customer Experiences affect Customer Loyalty; Table of Contents; List of Figures; List of Tables; List of Abbreviations; 1. Introduction; 2. Literature Review; 2.1 The Evolution from Products to Services to Experiences; 2.2 The Initial Conceptual Model; 3. Methodology & Research Design; 3.1 Assigning Scales to the Individual Constructs; 3.2 Pre-Testing the Scales; 3.3 Adjustments and Refinements; 3.4 Testing the Measurement Model; 4. Data Analysis; 4.1 Comparison of Competing Models; 4.2 Selection of the Best Fitting Structural Model; 5. Discussion; 6. Conclusion; 6.1 Theoretical Implications
6.2 Managerial Implications6.3 Limitations & Future Research; Reference List; Appendix |
| Record Nr. | UNINA-9910463947203321 |
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Gurski Daniel
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| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski
| Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski |
| Autore | Gurski Daniel |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (63 p.) |
| Disciplina | 519.542 |
| Collana | Compact |
| Soggetto topico |
Bayesian statistical decision theory
Structural equation modeling |
| ISBN | 3-95489-618-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Customer Experiences affect Customer Loyalty; Table of Contents; List of Figures; List of Tables; List of Abbreviations; 1. Introduction; 2. Literature Review; 2.1 The Evolution from Products to Services to Experiences; 2.2 The Initial Conceptual Model; 3. Methodology & Research Design; 3.1 Assigning Scales to the Individual Constructs; 3.2 Pre-Testing the Scales; 3.3 Adjustments and Refinements; 3.4 Testing the Measurement Model; 4. Data Analysis; 4.1 Comparison of Competing Models; 4.2 Selection of the Best Fitting Structural Model; 5. Discussion; 6. Conclusion; 6.1 Theoretical Implications
6.2 Managerial Implications6.3 Limitations & Future Research; Reference List; Appendix |
| Record Nr. | UNINA-9910787711203321 |
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Gurski Daniel
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| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski
| Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling / / Daniel Gurski |
| Autore | Gurski Daniel |
| Pubbl/distr/stampa | Hamburg, Germany : , : Anchor Academic Publishing, , 2014 |
| Descrizione fisica | 1 online resource (63 p.) |
| Disciplina | 519.542 |
| Collana | Compact |
| Soggetto topico |
Bayesian statistical decision theory
Structural equation modeling |
| ISBN | 3-95489-618-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Customer Experiences affect Customer Loyalty; Table of Contents; List of Figures; List of Tables; List of Abbreviations; 1. Introduction; 2. Literature Review; 2.1 The Evolution from Products to Services to Experiences; 2.2 The Initial Conceptual Model; 3. Methodology & Research Design; 3.1 Assigning Scales to the Individual Constructs; 3.2 Pre-Testing the Scales; 3.3 Adjustments and Refinements; 3.4 Testing the Measurement Model; 4. Data Analysis; 4.1 Comparison of Competing Models; 4.2 Selection of the Best Fitting Structural Model; 5. Discussion; 6. Conclusion; 6.1 Theoretical Implications
6.2 Managerial Implications6.3 Limitations & Future Research; Reference List; Appendix |
| Record Nr. | UNINA-9910811309303321 |
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Gurski Daniel
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| Hamburg, Germany : , : Anchor Academic Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Factors influencing the enlistment aspirations and decisions of hispanic, black, and white male youth / / Donna R. Morrison and David E. Myers
| Factors influencing the enlistment aspirations and decisions of hispanic, black, and white male youth / / Donna R. Morrison and David E. Myers |
| Autore | Morrison Donna Ruane |
| Pubbl/distr/stampa | Alexandria, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , July 1998 |
| Descrizione fisica | 1 online resource (approximately 99 pages) : illustrations |
| Collana | ARI research note |
| Soggetto topico |
Recruiting and enlistment
Armed Forces - Minorities Ethnic groups Statistics Structural equation modeling Decision making |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910713590903321 |
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Morrison Donna Ruane
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| Alexandria, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , July 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A First Course in Structural Equation Modeling [[electronic resource]]
| A First Course in Structural Equation Modeling [[electronic resource]] |
| Autore | Raykov Tenko |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Taylor and Francis, 2012 |
| Descrizione fisica | 1 online resource (249 p.) |
| Disciplina |
300.15195
519.535 |
| Altri autori (Persone) | MarcoulidesGeorge A |
| Soggetto topico |
Analysis of covariance
Linear models (Statistics) Multilevel models (Statistics) Social sciences - Statistical methods Social sciences -- Statistical methods Statistics Structural equation modeling Mathematics Physical Sciences & Mathematics Mathematical Statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-135-60076-7
1-281-07603-1 1-135-10923-0 9786611076030 0-203-93068-1 1-4294-6298-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; A First Course in Structural Equation Modeling; Copyright; Contents; Preface to the Second Edition; CHAPTER ONE Fundamentals of StructuralEquation Modeling; WHAT IS STRUCTURAL EQUATION MODELING?; PATH DIAGRAMS; RULES FOR DETERMINING MODEL PARAMETERS; PARAMETER ESTIMATION; PARAMETER AND MODEL IDENTIFICATION; MODEL-TESTING AND -FIT EVALUATION; APPENDIX TO CHAPTER 1; CHAPTER TWO Getting to Know the EQS,LISREL, and Mplus Programs; STRUCTURE OF INPUT FILES FOR SEM SOFTWARE; INTRODUCTION TO THE EQS NOTATION AND SYNTAX; INTRODUCTION TO THE LISREL NOTATION AND SYNTAX
INTRODUCTION TO THE Mplus NOTATION AND SYNTAXCHAPTER THREE Path Analysis; WHAT IS PATH ANALYSIS?; EXAMPLE PATH ANALYSIS MODEL; EQS, LISREL, AND Mplus INPUT FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS IN SEM; MODEL MODIFICATIONS; APPENDIX TO CHAPTER 3; CHAPTER FOUR Confirmatory Factor Analysis; WHAT IS FACTOR ANALYSIS?; AN EXAMPLE CONFIRMATORY FACTOR ANALYSIS MODEL; EQS, LISREL, and Mplus COMMAND FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS: TRUE SCORE EQUIVALENCE; APPENDIX TO CHAPTER 4; CHAPTER FIVE Structural Regression Models; WHAT IS A STRUCTURAL REGRESSION MODEL? AN EXAMPLE STRUCTURAL REGRESSION MODELEQS, LISREL, AND Mplus COMMAND FILES; MODELING RESULTS; FACTORIAL INVARIANCE ACROSS TIME IN REPEATED MEASURE STUDIES; APPENDIX TO CHAPTER 5; CHAPTER SIX Latent Change Analysis; WHAT IS LATENT CHANGE ANALYSIS?; ONE-FACTOR LATENT CHANGE ANALYSIS MODEL; EQS, LISREL, AND Mplus COMMAND FILES FOR A ONE-FACTOR LCA MODEL; MODELING RESULTS, ONE-FACTOR LCA MODEL; LEVEL AND SHAPE MODEL; EQS, LISREL, AND Mplus COMMAND FILES, LEVEL AND SHAPE MODEL; MODELING RESULTS FOR THE LEVEL AND SHAPE MODEL; STUDYING CORRELATES AND PREDICTORS OF LATENT CHANGE APPENDIX TO CHAPTER 6Epilogue; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910452308603321 |
|
Raykov Tenko
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| Hoboken, : Taylor and Francis, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A First Course in Structural Equation Modeling [[electronic resource]]
| A First Course in Structural Equation Modeling [[electronic resource]] |
| Autore | Raykov Tenko |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Taylor and Francis, 2012 |
| Descrizione fisica | 1 online resource (249 p.) |
| Disciplina |
300.15195
519.535 |
| Altri autori (Persone) | MarcoulidesGeorge A |
| Soggetto topico |
Analysis of covariance
Linear models (Statistics) Multilevel models (Statistics) Social sciences - Statistical methods Social sciences -- Statistical methods Statistics Structural equation modeling Mathematics Physical Sciences & Mathematics Mathematical Statistics |
| ISBN |
1-135-60076-7
1-281-07603-1 1-135-10923-0 9786611076030 0-203-93068-1 1-4294-6298-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; A First Course in Structural Equation Modeling; Copyright; Contents; Preface to the Second Edition; CHAPTER ONE Fundamentals of StructuralEquation Modeling; WHAT IS STRUCTURAL EQUATION MODELING?; PATH DIAGRAMS; RULES FOR DETERMINING MODEL PARAMETERS; PARAMETER ESTIMATION; PARAMETER AND MODEL IDENTIFICATION; MODEL-TESTING AND -FIT EVALUATION; APPENDIX TO CHAPTER 1; CHAPTER TWO Getting to Know the EQS,LISREL, and Mplus Programs; STRUCTURE OF INPUT FILES FOR SEM SOFTWARE; INTRODUCTION TO THE EQS NOTATION AND SYNTAX; INTRODUCTION TO THE LISREL NOTATION AND SYNTAX
INTRODUCTION TO THE Mplus NOTATION AND SYNTAXCHAPTER THREE Path Analysis; WHAT IS PATH ANALYSIS?; EXAMPLE PATH ANALYSIS MODEL; EQS, LISREL, AND Mplus INPUT FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS IN SEM; MODEL MODIFICATIONS; APPENDIX TO CHAPTER 3; CHAPTER FOUR Confirmatory Factor Analysis; WHAT IS FACTOR ANALYSIS?; AN EXAMPLE CONFIRMATORY FACTOR ANALYSIS MODEL; EQS, LISREL, and Mplus COMMAND FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS: TRUE SCORE EQUIVALENCE; APPENDIX TO CHAPTER 4; CHAPTER FIVE Structural Regression Models; WHAT IS A STRUCTURAL REGRESSION MODEL? AN EXAMPLE STRUCTURAL REGRESSION MODELEQS, LISREL, AND Mplus COMMAND FILES; MODELING RESULTS; FACTORIAL INVARIANCE ACROSS TIME IN REPEATED MEASURE STUDIES; APPENDIX TO CHAPTER 5; CHAPTER SIX Latent Change Analysis; WHAT IS LATENT CHANGE ANALYSIS?; ONE-FACTOR LATENT CHANGE ANALYSIS MODEL; EQS, LISREL, AND Mplus COMMAND FILES FOR A ONE-FACTOR LCA MODEL; MODELING RESULTS, ONE-FACTOR LCA MODEL; LEVEL AND SHAPE MODEL; EQS, LISREL, AND Mplus COMMAND FILES, LEVEL AND SHAPE MODEL; MODELING RESULTS FOR THE LEVEL AND SHAPE MODEL; STUDYING CORRELATES AND PREDICTORS OF LATENT CHANGE APPENDIX TO CHAPTER 6Epilogue; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910777834603321 |
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Raykov Tenko
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| Hoboken, : Taylor and Francis, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||