My Account Log in

2 options

Introduction to structural equation modeling using IBM SPSS statistics and AMOS / Niels J. Blunch.

Connect to full text Available online

View online

SAGE Research Methods Online (backfile through 2025) Available online

View online
Format:
Book
Author/Creator:
Blunch, Niels J., author.
Contributor:
Blunch, Niels J.
Language:
English
Subjects (All):
Structural equation modeling--Data processing.
Structural equation modeling.
Physical Description:
1 online resource (352 pages) : illustrations
Edition:
Second edition.
Other Title:
Structural equation modeling using IBM SPSS statistics and AMOS
Place of Publication:
Los Angeles, Calif. : SAGE, [2013]
System Details:
text file
Summary:
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field. The book includes:--Learning objectives, key concepts and questions for further discussion in each chapter--Helpful diagrams and screenshots to expand on concepts covered in the texts--Real life examples from a variety of disciplines to show hoe SEM is applied in real research contexts--Exercises for each chapter on an accompanying companion website--A new glossary at the end of book Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline.
Contents:
part 1. Preparing yourself and your data
part 2. The three basic models
part 3. Advanced models and techniques.
Notes:
First edition published as: Introduction to structural equation modelling using SPSS and AMOS.
Includes bibliographical references and indexes.
Description based on MARC record for print version.
Other Format:
Print version:
ISBN:
9781526402257
OCLC:
961870708
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account