This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the open-source software, lavaan, and the rich and comprehensive technical features it offers.
Structural Equation Modeling with lavaan thus helps the reader to gain autonomy in the use of SEM to test path models and dyadic models, perform confirmatory factor analyses and estimate more complex models such as general structural models with latent variables and latent growth models.
SEM is approached both from the point of view of its process (i.e. the different stages of its use) and from the point of view of its product (i.e. the results it generates and their reading).
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Kamel Gana is Professor of Health Psychology at the University of Bordeaux, France. He has been teaching introductory workshops on SEM in various universities for 15 years.
Guillaume Broc, a Doctor in Psychology, is currently a Postdoctoral Fellow at Claude Bernard University Lyon 1, France. He is a specialist in health psychology and is interested in quantitative and qualitative data analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Gebunden. Condición: New. Über den AutorKamel Gana is Professor of Health Psychology at the University of Bordeaux, France. He has been teaching introductory workshops on SEM in various universities for 15 years. Guillaume Broc, a Doc. Nº de ref. del artículo: 472156654
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Buch. Condición: Neu. Neuware - This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the open-source software, lavaan, and the rich and comprehensive technical features it offers. Structural Equation Modeling with lavaan thus helps the reader to gain autonomy in the use of SEM to test path models and dyadic models, perform confirmatory factor analyses and estimate more complex models such as general structural models with latent variables and latent growth models. SEM is approached both from the point of view of its process (i.e. the different stages of its use) and from the point of view of its product (i.e. the results it generates and their reading). Nº de ref. del artículo: 9781786303691
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