Compartir
Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics) (en Inglés)
Kenneth A. Bollen
(Autor)
·
Patrick J. Curran
(Autor)
·
Wiley-Interscience
· Tapa Dura
Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics) (en Inglés) - Bollen, Kenneth A. ; Curran, Patrick J.
$ 138.06
$ 163.95
Ahorras: $ 25.89
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis ListasSe enviará desde nuestra bodega entre el
Viernes 07 de Junio y el
Lunes 10 de Junio.
Lo recibirás en cualquier lugar de Estados Unidos entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics) (en Inglés)"
An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social scienceshighlights the need for this timely publication. Latent CurveModels: A Structural Equation Perspective provides an effectivetechnique to analyze latent curve models (LCMs). This type of datafeatures random intercepts and slopes that permit each case in asample to have a different trajectory over time. Furthermore,researchers can include variables to predict the parametersgoverning these trajectories.The authors synthesize a vast amount of research and findingsand, at the same time, provide original results. The book analyzesLCMs from the perspective of structural equation models (SEMs) withlatent variables. While the authors discuss simple regression-basedprocedures that are useful in the early stages of LCMs, most of thepresentation uses SEMs as a driving tool. This cutting-edge workincludes some of the authors' recent work on the autoregressivelatent trajectory model, suggests new models for method factors inmultiple indicators, discusses repeated latent variable models, andestablishes the identification of a variety of LCMs.This text has been thoroughly class-tested and makes extensiveuse of pedagogical tools to aid readers in mastering and applyingLCMs quickly and easily to their own data sets. Key featuresinclude:Chapter introductions and summaries that provide a quickoverview of highlightsEmpirical examples provided throughout that allow readers totest their newly found knowledge and discover practicalapplicationsConclusions at the end of each chapter that stress theessential points that readers need to understand for advancement tomore sophisticated topicsExtensive footnoting that points the way to the primaryliterature for more information on particular topicsWith its emphasis on modeling and the use of numerous examples,this is an excellent book for graduate courses in latent trajectorymodels as well as a supplemental text for courses in structuralmodeling. This book is an excellent aid and reference forresearchers in quantitative social and behavioral sciences who needto analyze longitudinal data.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Dura.
✓ Producto agregado correctamente al carro, Ir a Pagar.
