Structural equation modeling with Mplus: methods and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chichester, West Sussex
Wiley/Higher Education Press
2012
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Online-Zugang: | FRO01 FUBA1 UBG01 Volltext |
| Beschreibung: | Machine generated contents note: Preface 1. Introduction 1.1 Model formulation 1.2 Model identification 1.3 Model estimation 1.4 Model evaluation 1.5 Model modification 2. Confirmatory factor analysis (CFA) Models 2.1 Basics of CFA 2.2 CFA with continuous indicators 2.3 CFA with non-normal and censored continuous indicators 2.4 CFA with categorical indicators 2.5 Higher-order CFA 3. Structural Equation Models (SEM) 3.1 Multiple indicators and multiple causes (MIMIC) Model 3.2 Structural equation model 3.3 Correcting for measurement errors in single indicator variables 3.4 Testing interactions involving latent variables 4. Latent growth modeling (LGM) for longitudinal data 4.1 Linear latent growth model (LGM) 4.2 Non-linear LGM 4.3 LGM with multiple growth processes 4.4 Two-part LGM 4.5 LGM with categorical outcomes 5. Multi-Group Modeling 5.1 Multi-group confirmatory factor analysis (CFA) model 5.2 Multi-group structural equation model (SEM) 5.3 Multi-group latent growth model (LGM) 6. Mixture models 6.1 Latent class analysis (LCA) model 6.2 Latent transition analysis (LTA) model 6.3 Growth mixture model (GMM) 6.4 Factor Mixture Model (FMM) 7. Sample Size for Structural Equation Modeling 7.1 Rule of thumbs for sample size needed for SEM 7.2 Satorra-Saris's method for sample size estimation 7.3 Monte Carlo simulation for sample size estimation 7.4 Estimate sample size for SEM based on model fit statistics/indexes References Index "Focuses on the methods and practical aspects of SEM models using Mplus"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (XI, 464 S.) |
| ISBN: | 9781118356302 1118356306 9781118356296 1118356292 9781118356319 1118356314 9781118356258 111835625X 1119978297 |
Internformat
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| 245 | 1 | 0 | |a Structural equation modeling with Mplus |b methods and applications |c Jichuan Wang, Xiaoqian Wang |
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| 500 | |a "Focuses on the methods and practical aspects of SEM models using Mplus"-- | ||
| 500 | |a Includes bibliographical references and index | ||
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Datensatz im Suchindex
| _version_ | 1804175973318393856 |
|---|---|
| any_adam_object | |
| author | Wang, Jichuan 1947- |
| author_GND | (DE-588)1026740231 (DE-588)102674590X |
| author_facet | Wang, Jichuan 1947- |
| author_role | aut |
| author_sort | Wang, Jichuan 1947- |
| author_variant | j w jw |
| building | Verbundindex |
| bvnumber | BV043394588 |
| classification_rvk | DF 2520 MR 2100 |
| collection | ZDB-35-WIC |
| ctrlnum | (ZDB-35-WIC)ocn794922819 (OCoLC)794922819 (DE-599)BVBBV043394588 |
| dewey-full | 519.5/3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/3 |
| dewey-search | 519.5/3 |
| dewey-sort | 3519.5 13 |
| dewey-tens | 510 - Mathematics |
| discipline | Pädagogik Soziologie Mathematik |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:24:47Z |
| institution | BVB |
| isbn | 9781118356302 1118356306 9781118356296 1118356292 9781118356319 1118356314 9781118356258 111835625X 1119978297 |
| language | English |
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| physical | 1 Online-Ressource (XI, 464 S.) |
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| spelling | Wang, Jichuan 1947- Verfasser (DE-588)1026740231 aut Structural equation modeling with Mplus methods and applications Jichuan Wang, Xiaoqian Wang Chichester, West Sussex Wiley/Higher Education Press 2012 1 Online-Ressource (XI, 464 S.) txt rdacontent c rdamedia cr rdacarrier Wiley series in probability and statistics Machine generated contents note: Preface 1. Introduction 1.1 Model formulation 1.2 Model identification 1.3 Model estimation 1.4 Model evaluation 1.5 Model modification 2. Confirmatory factor analysis (CFA) Models 2.1 Basics of CFA 2.2 CFA with continuous indicators 2.3 CFA with non-normal and censored continuous indicators 2.4 CFA with categorical indicators 2.5 Higher-order CFA 3. Structural Equation Models (SEM) 3.1 Multiple indicators and multiple causes (MIMIC) Model 3.2 Structural equation model 3.3 Correcting for measurement errors in single indicator variables 3.4 Testing interactions involving latent variables 4. Latent growth modeling (LGM) for longitudinal data 4.1 Linear latent growth model (LGM) 4.2 Non-linear LGM 4.3 LGM with multiple growth processes 4.4 Two-part LGM 4.5 LGM with categorical outcomes 5. Multi-Group Modeling 5.1 Multi-group confirmatory factor analysis (CFA) model 5.2 Multi-group structural equation model (SEM) 5.3 Multi-group latent growth model (LGM) 6. Mixture models 6.1 Latent class analysis (LCA) model 6.2 Latent transition analysis (LTA) model 6.3 Growth mixture model (GMM) 6.4 Factor Mixture Model (FMM) 7. Sample Size for Structural Equation Modeling 7.1 Rule of thumbs for sample size needed for SEM 7.2 Satorra-Saris's method for sample size estimation 7.3 Monte Carlo simulation for sample size estimation 7.4 Estimate sample size for SEM based on model fit statistics/indexes References Index "Focuses on the methods and practical aspects of SEM models using Mplus"-- Includes bibliographical references and index Mplus Mplus blmlsh Structural equation modeling / Data processing Multivariate analysis / Data processing Social sciences / Statistical methods / Data processing SOCIAL SCIENCE / Statistics bisacsh Datenverarbeitung Sozialwissenschaften Statistik Mplus (DE-588)7716737-5 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 s Multivariate Analyse (DE-588)4040708-1 s DE-604 Mplus (DE-588)7716737-5 s Wang, Xiaoqian Sonstige (DE-588)102674590X oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-97829-9 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118356258 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Wang, Jichuan 1947- Structural equation modeling with Mplus methods and applications Mplus Mplus blmlsh Structural equation modeling / Data processing Multivariate analysis / Data processing Social sciences / Statistical methods / Data processing SOCIAL SCIENCE / Statistics bisacsh Datenverarbeitung Sozialwissenschaften Statistik Mplus (DE-588)7716737-5 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)7716737-5 (DE-588)4252999-2 (DE-588)4040708-1 |
| title | Structural equation modeling with Mplus methods and applications |
| title_auth | Structural equation modeling with Mplus methods and applications |
| title_exact_search | Structural equation modeling with Mplus methods and applications |
| title_full | Structural equation modeling with Mplus methods and applications Jichuan Wang, Xiaoqian Wang |
| title_fullStr | Structural equation modeling with Mplus methods and applications Jichuan Wang, Xiaoqian Wang |
| title_full_unstemmed | Structural equation modeling with Mplus methods and applications Jichuan Wang, Xiaoqian Wang |
| title_short | Structural equation modeling with Mplus |
| title_sort | structural equation modeling with mplus methods and applications |
| title_sub | methods and applications |
| topic | Mplus Mplus blmlsh Structural equation modeling / Data processing Multivariate analysis / Data processing Social sciences / Statistical methods / Data processing SOCIAL SCIENCE / Statistics bisacsh Datenverarbeitung Sozialwissenschaften Statistik Mplus (DE-588)7716737-5 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Mplus Structural equation modeling / Data processing Multivariate analysis / Data processing Social sciences / Statistical methods / Data processing SOCIAL SCIENCE / Statistics Datenverarbeitung Sozialwissenschaften Statistik Strukturgleichungsmodell Multivariate Analyse |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118356258 |
| work_keys_str_mv | AT wangjichuan structuralequationmodelingwithmplusmethodsandapplications AT wangxiaoqian structuralequationmodelingwithmplusmethodsandapplications |