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The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.

Latent structure analysis. --- Latent variables.

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Naomi Levy discusses latent variable modeling and how latent growth curve models can be used to understand trajectories of change.

Latent variables. --- Latent structure analysis.

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Photography --- Latent image.

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Brian Francis defines latent class analysis as a way of finding patterns in data, not by using linear modelling but by using a technique more akin to cluster analysis but with more help about the quantity of clusters existing in the data.

Latent structure analysis.

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This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables.- Covers a wide class of important models- Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data- Includes illustrative examples with real data sets from business, education, medicine, public health and sociology.- Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

Latent structure analysis. --- Latent variables. --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Latent structure analysis --- Multivariate analysis --- Variables (Mathematics) --- Correlation (Statistics) --- Latent variables