49,65 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
for Comparative Politics (CCCP), University of Cologne. Bruno received
his PhD from the Department of Political Science at Central European University
and teaches introductory and advanced quantitative methods courses,
including Multilevel Structural Equation Modeling and Machine Learning
at the European Consortium for Political Research Methods Schools. His
methodological interests are on applications of structural equation models
for scale development and causal analysis, and statistical methods of causal
inference with observational and experimental data.
About the Authors
Series Editor¿s Introduction
Acknowledgements
Chapter 1: Introduction
About the Book and MSEM
Quick Review of Structural Equation Models
Quick Review of Multilevel Models
Introduction to MSEM and Its Notation
Estimation and Model Fit
Scope of the Book and Online Materials
Chapter 2: Multilevel Path Models
Multilevel Regression Example
Random Intercepts Model
Random Slopes Model
Comparison of Random Intercepts and Random Slopes Models
Mediation and Moderation
Chapter 3: Multilevel Factor Models
Multigroup CFA
Two-Level CFA
Random Latent Variable Intercepts
Random Loadings
Chapter 4: Multilevel Structural Equation Models
Bringing Factor and Path Models Together
Random Intercept of Observed Outcome
Multilevel Latent Covariate Model
Between-Level Latent Variables
Random Slopes MSEM
Chapter 5: Conclusion
References
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 144 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781544323053 |
| ISBN-10: | 1544323050 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Silva, Bruno Castanho
Bosancianu, Constantin Manuel Littvay, Levente |
| Hersteller: | SAGE Publications Inc |
| Maße: | 213 x 133 x 9 mm |
| Von/Mit: | Bruno Castanho Silva (u. a.) |
| Erscheinungsdatum: | 11.07.2019 |
| Gewicht: | 0,178 kg |
for Comparative Politics (CCCP), University of Cologne. Bruno received
his PhD from the Department of Political Science at Central European University
and teaches introductory and advanced quantitative methods courses,
including Multilevel Structural Equation Modeling and Machine Learning
at the European Consortium for Political Research Methods Schools. His
methodological interests are on applications of structural equation models
for scale development and causal analysis, and statistical methods of causal
inference with observational and experimental data.
About the Authors
Series Editor¿s Introduction
Acknowledgements
Chapter 1: Introduction
About the Book and MSEM
Quick Review of Structural Equation Models
Quick Review of Multilevel Models
Introduction to MSEM and Its Notation
Estimation and Model Fit
Scope of the Book and Online Materials
Chapter 2: Multilevel Path Models
Multilevel Regression Example
Random Intercepts Model
Random Slopes Model
Comparison of Random Intercepts and Random Slopes Models
Mediation and Moderation
Chapter 3: Multilevel Factor Models
Multigroup CFA
Two-Level CFA
Random Latent Variable Intercepts
Random Loadings
Chapter 4: Multilevel Structural Equation Models
Bringing Factor and Path Models Together
Random Intercept of Observed Outcome
Multilevel Latent Covariate Model
Between-Level Latent Variables
Random Slopes MSEM
Chapter 5: Conclusion
References
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 144 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781544323053 |
| ISBN-10: | 1544323050 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Silva, Bruno Castanho
Bosancianu, Constantin Manuel Littvay, Levente |
| Hersteller: | SAGE Publications Inc |
| Maße: | 213 x 133 x 9 mm |
| Von/Mit: | Bruno Castanho Silva (u. a.) |
| Erscheinungsdatum: | 11.07.2019 |
| Gewicht: | 0,178 kg |
Ähnliche Produkte
Lieferzeit 4-7 Werktage
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Wochen
Lieferzeit 4-7 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Werktage
