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

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

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

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

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