£152.00

Sage Publications Sage Latent Class and Discrete Latent Trait Models Book

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Description

Explore the relationship between latent class and latent trait models with this advanced quantitative text from Sage Publications. Part of the Advanced Quantitative Techniques in the Social Sciences series, this book provides a detailed examination of the standard latent class model and its utility in social science research. Readers will learn how the latent class model serves as an instrument for data reduction and a flexible tool for analyzing structural relationships between categorical variables. The text also covers how these models function as a natural extension of the log-linear model to account for measurement error. Author Ton Heinen provides a careful examination of the similarities and differences between latent class and latent trait models, offering guidance on estimating parameters for latent class analysis models and various methods for model selection. This resource is designed for researchers and students looking to deepen their understanding of complex statistical modeling techniques.

Key Features

Examines the standard latent class model as a tool for data reduction in social science research.

Provides analysis of structural relationships between categorical variables using flexible modeling tools.

Explains how to use models as an extension of the log-linear model to account for measurement error.

Compares the specific similarities and differences between latent class models and latent trait models.

Offers guidance on estimating parameters for various latent class analysis models.

Covers essential methods used for model selection in quantitative research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 June 1996
Listed Since
31 January 2007

Barcode

No barcode data available

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