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Routledge Latent Variable Modeling with R - Routledge Guide

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Description

This comprehensive guide teaches you how to conduct latent variable modeling in R, covering the full spectrum of LVM techniques with practical, real-world examples. Each chapter walks through a detailed analysis using R, explaining the theory, checking assumptions, and interpreting results so you understand not just how to run the models but what they mean. You'll find every R command needed for the analyses, complete with output that serves as a template for your own work. Whether you're new to latent variable modeling or looking to deepen your skills, this book provides the structured approach and hands-on code examples that make advanced statistical modeling accessible and actionable.

Key Features

Each chapter includes a complete example with R code, output, and detailed interpretation to guide your analysis.

Comprehensive coverage of latent variable modeling techniques with specialised uses and applications explained.

Full R command descriptions and resulting output provided throughout to use as templates for your own analyses.

Theoretical foundations and model assumptions are covered alongside practical examples using real data.

Published by Routledge, a leading academic publisher with expertise in statistical and computational methods.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 July 2015
Listed Since
27 October 2014

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