£67.75

Wiley Structural Equation Modeling - Mplus Applications Guide

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£68.78 £60.96 £62.67 £64.37 £66.08 £67.78 £69.49 26 April 2026 18 May 2026 09 June 2026 01 July 2026 24 July 2026

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Description

Master the practical application of Structural Equation Modeling (SEM) with this comprehensive guide from Wiley. Part of the Wiley Series in Probability and Statistics, this book provides a systematic approach to understanding various SEM models through the lens of Mplus software. Designed for researchers and students, the text balances conceptual understanding with hands-on practical examples. You will learn to navigate fundamental concepts while staying current with advanced statistical methods. The content covers essential techniques such as confirmatory factor analysis (CFA) with categorical items, bifactor models, and Bayesian CFA models. Beyond standard modeling, this resource addresses complex statistical challenges including item response theory (IRT) models, graded response models (GRM), and multiple imputation (MI) for handling missing values. It also explores plausible values of latent variables and moderated mediation models, making it a vital tool for anyone looking to improve their data analysis capabilities using Mplus.

Key Features

Provides a systematic guide for applying Structural Equation Modeling (SEM) using the Mplus software platform.

Covers advanced statistical methods including Bayesian CFA models and bifactor models for complex data analysis.

Includes detailed instruction on item response theory (IRT) and graded response models (GRM).

Offers practical solutions for data integrity through multiple imputation (MI) of missing values.

Explores specialized modeling techniques such as moderated mediation and plausible values of latent variables.

Combines conceptual foundations with practical examples to support both learning and real-world application.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
21 November 2019
Listed Since
18 October 2019

Barcode

No barcode data available

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