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Wiley Latent Curve Models: A Structural Equation Perspective - Wiley

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Description

Latent Curve Models: A Structural Equation Perspective is an essential resource for social science researchers working with longitudinal data. This comprehensive guide from Wiley synthesises extensive research on latent curve models (LCMs), a powerful statistical technique that allows individual cases in a sample to follow different trajectories over time through random intercepts and slopes. The book equips researchers with practical methods to analyse complex longitudinal datasets whilst incorporating predictor variables to explain the parameters governing these trajectories. Whether you're examining developmental patterns, behavioural changes, or growth processes across time, this structured equation modelling approach provides rigorous analytical frameworks for understanding how individuals vary in their change patterns. Ideal for graduate students, researchers, and practitioners in psychology, sociology, education, and related social science disciplines seeking advanced data analysis techniques.

Key Features

Latent Curve Models provides detailed methodology for analysing individual trajectories and growth patterns in longitudinal data across social science research.

The book covers structural equation modelling techniques that allow researchers to include predictor variables to explain differences in individual change trajectories.

This Wiley publication synthesises extensive research findings on random intercepts and slopes, enabling flexible modelling of diverse individual developmental patterns.

Designed for social science researchers and graduate students who need advanced analytical approaches for understanding temporal change processes.

The structured equation perspective framework enables researchers to examine how cases differ in their trajectories whilst accounting for multiple influencing variables.

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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