Applied structural equation modelling for researchers and practitioners : using R and Stata for behavioural research / by Indranarain Ramlall.
Tipo de material:
TextoEditor: Bingley, UK : Emerald, 2017Fecha de copyright: ©2017Edición: First editionDescripción: x, 141 páginas : ilustraciones ; 24 cmTipo de contenido: texto Tipo de medio: sin medio Tipo de portador: volumenISBN: 9781786358837Tema(s): Modelos de ecuaciones estructuralesClasificación LoC:QA278.3 | .R35Clasificación: Resumen: During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Social science researchers and students benefit greatly from acquiring knowledge and skills in SEM, since the methods can provide a bridge between the theoretical and empirical aspects of behavioural research. Ramlall explains in a rigorous, concise, and practical manner all the vital components embedded in structural equation modelling (SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and drawbacks of SEM, delving into model specifications and identifications, fit evaluations, and path diagrams.
| Tipo de ítem | Biblioteca actual | Tipo de materiales | Clasificación | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Préstamo por proyecto | Biblioteca Gerardo Cornejo Murrieta Acervo General | Libro | QA278.3 .R35 (Navegar estantería(Abre debajo)) | Ej. 1 | Prestado | 14/05/2024 | 61643 |
Navegando Biblioteca Gerardo Cornejo Murrieta Estantes, Ubicación: Acervo General, Código de colección: Libro Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
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| QA278 .B97 2016 Structural equation modeling with Amos : | QA278.2 .M35 Quantile regression for spatial date / | QA278.2 .O53 Spatial analysis along networks : | QA278.3 .R35 Applied structural equation modelling for researchers and practitioners : | QA280 .P47 Displaying time series, spatial, and space-time data with R / | QA300 .B76 Análisis diferencial / | QA371 .K57 2021 An introduction to the mathematical theory of inverse problems / |
Includes bibliographical references.
During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Social science researchers and students benefit greatly from acquiring knowledge and skills in SEM, since the methods can provide a bridge between the theoretical and empirical aspects of behavioural research. Ramlall explains in a rigorous, concise, and practical manner all the vital components embedded in structural equation modelling (SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and drawbacks of SEM, delving into model specifications and identifications, fit evaluations, and path diagrams.
Amazon.com.mx : Compra, 2019-05-08. 61643 2033.31.
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