Эта книга представляет введение в структурное уравнительное моделирование (SEM) и облегчает доступ студентов и исследователей в различных научных областях к этому мощному статистическому инструменту. Она предлагает дидактическое введение в SEM, а также в открытое программное обеспечение lavaan и его богатые и всеобъемлющие технические возможности. Таким образом, книга "Структурное уравнительное моделирование с lavaan" помогает читателю обрести автономию в использовании SEM для тестирования путевых моделей и диадических моделей, выполнения конфирматорного факторного анализа и оценки более сложных моделей, таких как общие структурные модели с латентными переменными и модели латентного роста. SEM рассматривается как с точки зрения его процесса (т.е. различных этапов его использования), так и с точки зрения его продукта (т.е. результатов, которые он генерирует, и их чтения).
This book is for anyone who wants a basic introduction to Structural Equation Modeling (SEM), as well for researchers or students in any field, who wish to learn how to access this essential statistical tool efficiently. The book offers beginners the opportunity to find their way in SEM, as well as in lavaan, an open-source SEM package that lends itself to a wide variety of applications.
The book explains the steps used in each stage of SEM and shows how they can be applied to statistical models using lavaan. Readers get insight into confirmatory analyses, factor analysis, and other statistical models that can cover a wide range of subjects. In short, the book equips readers with the tools they need to test hypotheses, collect data, analyze it, and ultimately make recommendations.
This book provides an instructive overview of structural equation modelling (SEM), facilitated by the author's familiar flow in embracing how to make the most of this technique. Through the multi-steps processes involved in SEM and exemplified with various scientific ventures, learners in various academic settings will find this book an engaging way to harness the potential of statistical modelling. This book not only supports novice learners but also those with somewhat more advanced familiarity with the particular aspects explored. Doing so encourages readers to improve their analytical skills and become autonomous users of SEM. Students and professionals alike will find the book simple to navigate and comprehend. As its electronic structure allows for different levels of enrichment, it embraces those interested in making the theory essential to practise and also consolidating the technical underpinnings. The book sets the groundwork for testing path models, performing confirmatory factor analysis and evaluating more convoluted models involving latent variables and even latent growth modelling, all serving to inculcate skills that will be imperative to succeeding in this specific field. Moreover, it incorporates the theorist's perspective on basic concepts while also explaining the methods they engender in order to better provide a tangible tool for both novices and experienced researchers. Readers can expect to receive a multifaceted learning experience when using this text.
Электронная Книга «Structural Equation Modeling with lavaan» написана автором Kamel Gana в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119579007
Описание книги от Kamel Gana
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).
