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Application of structural equation modeling in educational research and practice / / edited by Myint Swe Khine, Science and Mathematics Education Centre, Curtin University, Perth, Australia
Application of structural equation modeling in educational research and practice / / edited by Myint Swe Khine, Science and Mathematics Education Centre, Curtin University, Perth, Australia
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Rotterdam : , : Sense Publishers, , [2013]
Descrizione fisica 1 online resource (284 p.)
Disciplina 284
Altri autori (Persone) KhineMyint Swe
Collana Contemporary Approaches to Research in Learning Innovations
Soggetto topico Structural equation modeling
Education - Research - Methodology
ISBN 94-6209-332-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Theoretical foundations -- part II. Structural equation modeling in learning environment research -- part III. Structural equation modeling in educational practice -- part Ivolume Conclusion.
Record Nr. UNINA-9910438226303321
Rotterdam : , : Sense Publishers, , [2013]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Bingley, England : , : Emerald, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Edizione [1st ed.]
Pubbl/distr/stampa Bingley, England : , : Emerald, , 2017
Descrizione fisica 1 online resource (152 pages) : illustrations
Disciplina 507.2
Soggetto topico Structural equation modeling
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-9910821938403321
Ramlall Indranarain  
Bingley, England : , : Emerald, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Lee Sik-Yum  
Hoboken, : Wiley, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Lee Sik-Yum  
Hoboken, : Wiley, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Maruyama Geoffrey M.  
Los Angeles, CA : , : SAGE Publications, Inc., , 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Basics of structural equation modeling / / Geoffrey M. Maruyama
Basics of structural equation modeling / / Geoffrey M. Maruyama
Autore Maruyama Geoffrey M.
Edizione [1st ed.]
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-9910814583803321
Maruyama Geoffrey M.  
Los Angeles, CA : , : SAGE Publications, Inc., , 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Gurski Daniel  
Hamburg, Germany : , : Anchor Academic Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Gurski Daniel  
Hamburg, Germany : , : Anchor Academic Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Gurski Daniel  
Hamburg, Germany : , : Anchor Academic Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui