Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series) - Image 1

£147.20

Routledge Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

Name: Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
Brand: Routledge
Price: 147.2 GBP
Availability: InStock

Biography

This is the usual price. Wait for it to drop, or tell us your number.

£147 today · usual range £0–£0 · best ever £137

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 583 days • 583 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 583 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £140-144 (286 days, 49.1%)

Price range: £137 - £155

Price levels: 5 price ranges over 583 days

Description

Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available under "Supplementary Material" below The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Key Features

Used Book in Good Condition

Product Specifications

Brand: Routledge
Format: hardcover
ASIN: 0805859861
Category: Books > Subjects > Biography
Domain: Amazon UK
Release Date: 26 August 2011
Listed Since: 04 February 2011

Barcode

No barcode data available

Routledge Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications Series)

Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Principles and Practice of Structural Equation Modeling, Fifth Edition (Methodology in the Social Sciences)

Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide (Multivariate Applications Series)

Principles and Practice of Structural Equation Modeling, Fifth Edition (Methodology in the Social Sciences)

Latent Variable Modeling with R - Routledge Statistical Guide

Structural Equation Modeling for Health and Medicine (Chapman & Hall/CRC Biostatistics Series)

An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches (Quantitative Methodology Series)

CRC Press Structural Equation Modeling for Health and Medicine

An Introduction to Multilevel Modeling Techniques: MLM and SEM Approaches (Quantitative Methodology Series)

Handbook of Structural Equation Modeling, Second Edition

Statistical Strategies for Small Sample Research

Advanced Issues in Partial Least Squares Structural Equation Modeling

Sage Handbook of Quantitative Methods in Psychology - Book

Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis

A Beginner's Guide to Structural Equation Modeling

Routledge - An Introduction to Applied Multivariate Analysis

An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition (Quantitative Methodology Series)

Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition (Wiley Series in Probability and Statistics)

Longitudinal Structural Equation Modeling, Second Edition (Methodology in the Social Sciences)

Analysis of Multivariate Social Science Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Analysis of Multivariate Social Science Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)