Название: Structural Equation Modeling with Lavaan Автор: Kamel Gana, Guillaume Broc
Издательство: Wiley-ISTE
Год: 2019
Страниц: 294
Язык: английский
Формат: epub
Размер: 14.87 MB
The R package Lavaan is developed to provide users, researchers and teachers a free open-source, but commercial-quality package for latent variable modeling. You can use Lavaan to estimate a large variety of multivariate statistical models, including path analysis, confirmatory factor analysis, structural equation modeling and growth curve models.
When R, free open-source software, was developed, the situation changed. R is made of packages dedicated to all kinds of data analysis and processing. The Lavaan package, provided by Rosseel, is dedicated to structural equation modeling (SEM). It achieved immediate success as it has all the features proposed by commercial software, and it offers such a disconcerting ease of use. As with any statistical tool, practice remains the best way to master SEM. There is no better way to do this than by having software at hand. R and lavaan have changed our way of teaching statistical tools as well as the way in which students can become familiarized with, adapt, and use them. Our level of demand on them changes as the students' view of these tools evolves. Understanding, learning, and especially practicing without any limits (apart from that of having a computer): this is what R and its lavaan package offer to students. This book certainly contributes to it.
From the outset, let us specify three essential points here. First, it is not necessary to master R to use lavaan. R will only serve as a mathematical environment for lavaan and, in this case, to import data. However, it is desirable to know R very well to make full use of their mutual and complementary features. Next, communication with lavaan is done using a very simple command language. Finally, lavaan provides an output diagram, meaning a model diagram created from a model analysis. The diagram makes it possible to do a final check of the specified model by the using lavaan syntax.
This book presents an introduction to structural equation modeling 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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