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Latent Curve Models a Structural Equation Perspective

Presents a treatment of a model referred to as latent curve or growth curve model. This book analyzes LTMs from the perspective of structural equation modeling (SEM) with latent variables. It discusses simple regression-based procedures that are helpful in the early stages of LTM. The presentations use SEMs as a driving tool throughout the text.

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  • "Presents a treatment of a model referred to as latent curve or growth curve model. This book analyzes LTMs from the perspective of structural equation modeling (SEM) with latent variables. It discusses simple regression-based procedures that are helpful in the early stages of LTM. The presentations use SEMs as a driving tool throughout the text."@en
  • "The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and findings and, at the same time, provide original results. The book analyzes LCMs from the perspective of structural equation models (SEMs) with latent variables. While the authors discuss simple regression-based procedures that are useful in the early stages of LCMs, most of the presentation uses SEMs as a driving tool. This cutting-edge work includes some of the authors' recent work on the autoregressive latent trajectory model, suggests new models for method factors in multiple indicators, discusses repeated latent variable models, and establishes the identification of a variety of LCMs. This text has been thoroughly class-tested and makes extensive use of pedagogical tools to aid readers in mastering and applying LCMs quickly and easily to their own data sets."
  • "An effective technique for data analysis in the social sciencesThe recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and findings a."@en

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  • "Latent Curve Models a Structural Equation Perspective"@en
  • "Latent curve models a structural equation perspective"
  • "Latent curve models a structural equation perspective"@en
  • "Latent curve models : a structural equation perspective"
  • "Latent curve models : a structural equation perspective$nElektronische Ressource"

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