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Wiley Latent Curve Models: A Structural Equation Perspective

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Description

As longitudinal data continues to grow within the social sciences, researchers need reliable methods to interpret complex patterns over time. Latent Curve Models: A Structural Equation Perspective offers a practical approach to analyzing these data sets using Latent Curve Models (LCMs). This publication addresses the specific needs of researchers working with data that features random intercepts and slopes. This allows every case in a sample to maintain a unique trajectory over time, providing a more accurate representation of individual changes. Beyond simple observation, the text explains how to include variables to predict the parameters that govern these specific trajectories. By synthesizing a large amount of research and existing findings, this book serves as a timely resource for those requiring effective techniques for data analysis. It is an essential addition to the Wiley Series in Probability and Statistics for anyone studying psychology, psychiatry, or other social science disciplines that rely on longitudinal modeling.

Key Features

Provides effective techniques for analyzing latent curve models (LCMs) in social science research.

Explains how to manage longitudinal data featuring random intercepts and slopes for accurate modeling.

Allows researchers to account for different trajectories for each case within a sample over time.

Includes methods to incorporate variables that predict the parameters governing individual trajectories.

Synthesizes a vast amount of existing research and findings into a single cohesive resource.

Serves as a specialized guide within the Wiley Series in Probability and Statistics.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
07 December 2005
Listed Since
02 January 2007

Barcode

No barcode data available

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