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Advanced issues in PLS path modelling : new guidelines for business and information systems research / / guest editors: Wen-Lung Shiau [and three others]
| Advanced issues in PLS path modelling : new guidelines for business and information systems research / / guest editors: Wen-Lung Shiau [and three others] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing, , [2020] |
| Descrizione fisica | 1 online resource (295 pages) |
| Disciplina | 511.42 |
| Collana | Industrial management and data systems |
| Soggetto topico |
Least squares - Data processing
Regression analysis - Data processing Structural equation modeling - Data processing |
| ISBN | 1-80071-896-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794428703321 |
| [Place of publication not identified] : , : Emerald Publishing, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced issues in PLS path modelling : new guidelines for business and information systems research / / guest editors: Wen-Lung Shiau [and three others]
| Advanced issues in PLS path modelling : new guidelines for business and information systems research / / guest editors: Wen-Lung Shiau [and three others] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing, , [2020] |
| Descrizione fisica | 1 online resource (295 pages) |
| Disciplina | 511.42 |
| Collana | Industrial management and data systems |
| Soggetto topico |
Least squares - Data processing
Regression analysis - Data processing Structural equation modeling - Data processing |
| ISBN | 1-80071-896-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910827569103321 |
| [Place of publication not identified] : , : Emerald Publishing, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron
| La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron |
| Autore | Caron Pier-Olivier <1990-> |
| Pubbl/distr/stampa | Québec, Québec : , : Presses de l'Université du Québec, , [2018] |
| Descrizione fisica | 1 online resource (xiv, 262 pages) : illustrations |
| Disciplina | 519.53 |
| Collana | Mesure et évaluation |
| Soggetto topico |
Structural equation modeling - Data processing
Social sciences - Statistical methods - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 2-7605-4973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910467226703321 |
Caron Pier-Olivier <1990->
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| Québec, Québec : , : Presses de l'Université du Québec, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron
| La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron |
| Autore | Caron Pier-Olivier <1990-> |
| Pubbl/distr/stampa | Québec, Québec : , : Presses de l'Université du Québec, , [2018] |
| Descrizione fisica | 1 online resource (xiv, 262 pages) : illustrations |
| Disciplina | 519.53 |
| Collana | Mesure et évaluation |
| Soggetto topico |
Structural equation modeling - Data processing
Social sciences - Statistical methods - Data processing |
| ISBN | 2-7605-4973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910793947303321 |
|
Caron Pier-Olivier <1990->
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||
| Québec, Québec : , : Presses de l'Université du Québec, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron
| La modélisation par équations structurelles avec Mplus / / Pier-Olivier Caron |
| Autore | Caron Pier-Olivier <1990-> |
| Pubbl/distr/stampa | Québec, Québec : , : Presses de l'Université du Québec, , [2018] |
| Descrizione fisica | 1 online resource (xiv, 262 pages) : illustrations |
| Disciplina | 519.53 |
| Collana | Mesure et évaluation |
| Soggetto topico |
Structural equation modeling - Data processing
Social sciences - Statistical methods - Data processing |
| ISBN | 2-7605-4973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910825778103321 |
|
Caron Pier-Olivier <1990->
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||
| Québec, Québec : , : Presses de l'Université du Québec, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural equation modeling : applications using Mplus / / Jichuan Wang, Xiaoqian Wang
| Structural equation modeling : applications using Mplus / / Jichuan Wang, Xiaoqian Wang |
| Autore | Wang Jichuan |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (537 pages) |
| Disciplina | 300.285 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Structural equation modeling - Data processing
Multivariate analysis - Data processing Social sciences - Statistical methods - Data processing |
| ISBN |
1-119-42272-8
1-119-42273-6 1-119-42271-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling. |
| Record Nr. | UNINA-9910555108103321 |
|
Wang Jichuan
|
||
| Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural equation modeling [[electronic resource] ] : applications using Mplus / / Jichuan Wang, Xiaoqian Wang
| Structural equation modeling [[electronic resource] ] : applications using Mplus / / Jichuan Wang, Xiaoqian Wang |
| Autore | Wang Jichuan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (479 p.) |
| Disciplina | 519.5/3 |
| Altri autori (Persone) | WangXiaoqian |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Multivariate analysis - Data processing
Social sciences - Statistical methods - Data processing Structural equation modeling - Data processing |
| ISBN |
1-283-55059-8
9786613863041 1-118-35629-2 1-118-35625-X 1-118-35631-4 |
| Classificazione | SOC027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Structural Equation Modeling: Applications Using Mplus; Contents; Preface; 1 Introduction; 1.1 Model formulation; 1.1.1 Measurement model; 1.1.2 Structural model; 1.1.3 Model formulation in equations; 1.2 Model identification; 1.3 Model estimation; 1.4 Model evaluation; 1.5 Model modification; 1.6 Computer programs for SEM; Appendix 1.A Expressing variances and covariances among observed variables as functions of model parameters; Appendix 1.B Maximum likelihood function for SEM; 2 Confirmatory factor analysis; 2.1 Basics of CFA model; 2.2 CFA model with continuous indicators
2.3 CFA model with non-normal and censored continuous indicators2.3.1 Testing non-normality; 2.3.2 CFA model with non-normal indicators; 2.3.3 CFA model with censored data; 2.4 CFA model with categorical indicators; 2.4.1 CFA model with binary indicators; 2.4.2 CFA model with ordered categorical indicators; 2.5 Higher order CFA model; Appendix 2.A BSI-18 instrument; Appendix 2.B Item reliability; Appendix 2.C Cronbach's alpha coefficient; Appendix 2.D Calculating probabilities using PROBIT regression coefficients; 3 Structural equations with latent variables; 3.1 MIMIC model 3.2 Structural equation model3.3 Correcting for measurement errors in single indicator variables; 3.4 Testing interactions involving latent variables; Appendix 3.A Influence of measurement errors; 4 Latent growth models for longitudinal data analysis; 4.1 Linear LGM; 4.2 Nonlinear LGM; 4.3 Multi-process LGM; 4.4 Two-part LGM; 4.5 LGM with categorical outcomes; 5 Multi-group modeling; 5.1 Multi-group CFA model; 5.1.1 Multi-group first-order CFA; 5.1.2 Multi-group second-order CFA; 5.2 Multi-group SEM model; 5.3 Multi-group LGM; 6 Mixture modeling; 6.1 LCA model; 6.1.1 Example of LCA 6.1.2 Example of LCA model with covariates6.2 LTA model; 6.2.1 Example of LTA; 6.3 Growth mixture model; 6.3.1 Example of GMM; 6.4 Factor mixture model; Appendix 6.A Including covariate in the LTA model; 7 Sample size for structural equation modeling; 7.1 The rules of thumb for sample size needed for SEM; 7.2 Satorra and Saris's method for sample size estimation; 7.2.1 Application of Satorra and Saris's method to CFA model; 7.2.2 Application of Satorra and Saris's method to LGM; 7.3 Monte Carlo simulation for sample size estimation; 7.3.1 Application of Monte Carlo simulation to CFA model 7.3.2 Application of Monte Carlo simulation to LGM7.3.3 Application of Monte Carlo simulation to LGM with covariate; 7.3.4 Application of Monte Carlo simulation to LGM with missing values; 7.4 Estimate sample size for SEM based on model fit indices; 7.4.1 Application of MacCallum, Browne and Sugawara's method; 7.4.2 Application of Kim's method; References; Index; Series |
| Record Nr. | UNINA-9910791707803321 |
|
Wang Jichuan
|
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| Chichester, West Sussex, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural equation modeling [[electronic resource] ] : applications using Mplus / / Jichuan Wang, Xiaoqian Wang
| Structural equation modeling [[electronic resource] ] : applications using Mplus / / Jichuan Wang, Xiaoqian Wang |
| Autore | Wang Jichuan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, : Wiley, 2012 |
| Descrizione fisica | 1 online resource (479 p.) |
| Disciplina | 519.5/3 |
| Altri autori (Persone) | WangXiaoqian |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Multivariate analysis - Data processing
Social sciences - Statistical methods - Data processing Structural equation modeling - Data processing |
| ISBN |
1-283-55059-8
9786613863041 1-118-35629-2 1-118-35625-X 1-118-35631-4 |
| Classificazione | SOC027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Structural Equation Modeling: Applications Using Mplus; Contents; Preface; 1 Introduction; 1.1 Model formulation; 1.1.1 Measurement model; 1.1.2 Structural model; 1.1.3 Model formulation in equations; 1.2 Model identification; 1.3 Model estimation; 1.4 Model evaluation; 1.5 Model modification; 1.6 Computer programs for SEM; Appendix 1.A Expressing variances and covariances among observed variables as functions of model parameters; Appendix 1.B Maximum likelihood function for SEM; 2 Confirmatory factor analysis; 2.1 Basics of CFA model; 2.2 CFA model with continuous indicators
2.3 CFA model with non-normal and censored continuous indicators2.3.1 Testing non-normality; 2.3.2 CFA model with non-normal indicators; 2.3.3 CFA model with censored data; 2.4 CFA model with categorical indicators; 2.4.1 CFA model with binary indicators; 2.4.2 CFA model with ordered categorical indicators; 2.5 Higher order CFA model; Appendix 2.A BSI-18 instrument; Appendix 2.B Item reliability; Appendix 2.C Cronbach's alpha coefficient; Appendix 2.D Calculating probabilities using PROBIT regression coefficients; 3 Structural equations with latent variables; 3.1 MIMIC model 3.2 Structural equation model3.3 Correcting for measurement errors in single indicator variables; 3.4 Testing interactions involving latent variables; Appendix 3.A Influence of measurement errors; 4 Latent growth models for longitudinal data analysis; 4.1 Linear LGM; 4.2 Nonlinear LGM; 4.3 Multi-process LGM; 4.4 Two-part LGM; 4.5 LGM with categorical outcomes; 5 Multi-group modeling; 5.1 Multi-group CFA model; 5.1.1 Multi-group first-order CFA; 5.1.2 Multi-group second-order CFA; 5.2 Multi-group SEM model; 5.3 Multi-group LGM; 6 Mixture modeling; 6.1 LCA model; 6.1.1 Example of LCA 6.1.2 Example of LCA model with covariates6.2 LTA model; 6.2.1 Example of LTA; 6.3 Growth mixture model; 6.3.1 Example of GMM; 6.4 Factor mixture model; Appendix 6.A Including covariate in the LTA model; 7 Sample size for structural equation modeling; 7.1 The rules of thumb for sample size needed for SEM; 7.2 Satorra and Saris's method for sample size estimation; 7.2.1 Application of Satorra and Saris's method to CFA model; 7.2.2 Application of Satorra and Saris's method to LGM; 7.3 Monte Carlo simulation for sample size estimation; 7.3.1 Application of Monte Carlo simulation to CFA model 7.3.2 Application of Monte Carlo simulation to LGM7.3.3 Application of Monte Carlo simulation to LGM with covariate; 7.3.4 Application of Monte Carlo simulation to LGM with missing values; 7.4 Estimate sample size for SEM based on model fit indices; 7.4.1 Application of MacCallum, Browne and Sugawara's method; 7.4.2 Application of Kim's method; References; Index; Series |
| Record Nr. | UNINA-9910820045703321 |
|
Wang Jichuan
|
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| Chichester, West Sussex, : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
