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Routledge - Latent Variable Modeling Using R Guide

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Description

Master latent variable models (LVM) with this practical, step-by-step guide from Routledge. Designed specifically for novices, this book provides a clear path to understanding LVM analysis using the R programming language. By focusing on the lavaan package and a path model approach, the author helps you move from theory to practical application quickly. This guide is ideal for researchers and students in psychology, education, business, and the social and health sciences. Instead of getting lost in heavy mathematical proofs, you will find a direct approach that avoids the use of matrix algebra. The author explains the reasoning behind specific syntax, ensuring you understand why certain commands are used during your data analysis. Whether you are looking to improve your statistical toolkit or need a reliable reference for conducting LVMs in R, this book offers the practical examples and guidance needed to succeed in your research projects.

Key Features

Designed for R and latent variable model novices to ensure a smooth learning curve for beginners.

Utilizes the lavaan package and a path model approach to help you perform LVM analysis efficiently.

Provides clear explanations of syntax reasoning to help you understand the logic behind your R code.

Includes practical examples applicable to psychology, education, business, and social or health sciences.

Avoids complex matrix algebra to keep the focus on practical data analysis and application.

Focuses on direct application with minimal text devoted to theoretical underpinnings.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 May 2014
Listed Since
10 January 2014

Barcode

No barcode data available

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