Regression and Mediation Analysis Using Mplus

Regression and Mediation Analysis Using Mplus
Author :
Publisher :
Total Pages : 535
Release :
ISBN-10 : 0982998317
ISBN-13 : 9780982998311
Rating : 4/5 (17 Downloads)

Book Synopsis Regression and Mediation Analysis Using Mplus by : Bengt O. Muthen

Download or read book Regression and Mediation Analysis Using Mplus written by Bengt O. Muthen and published by . This book was released on 2016-07-06 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Regression and Mediation Analysis Using Mplus Related Books

Regression and Mediation Analysis Using Mplus
Language: en
Pages: 535
Authors: Bengt O. Muthen
Categories:
Type: BOOK - Published: 2016-07-06 - Publisher:

DOWNLOAD EBOOK

Doing Statistical Mediation and Moderation
Language: en
Pages: 336
Authors: Paul E. Jose
Categories: Psychology
Type: BOOK - Published: 2013-02-25 - Publisher: Guilford Press

DOWNLOAD EBOOK

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and tho
Data Analysis with Mplus
Language: en
Pages: 320
Authors: Christian Geiser
Categories: Psychology
Type: BOOK - Published: 2012-11-12 - Publisher: Guilford Press

DOWNLOAD EBOOK

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, num
Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition
Language: en
Pages: 714
Authors: Andrew F. Hayes
Categories: Social Science
Type: BOOK - Published: 2017-10-30 - Publisher: Guilford Publications

DOWNLOAD EBOOK

This book has been replaced by Introduction to Mediation, Moderation, and Conditional Process Analysis, Third Edition, ISBN 978-1-4625-4903-0.
Structural Equation Modeling
Language: en
Pages: 612
Authors: Jichuan Wang
Categories: Mathematics
Type: BOOK - Published: 2019-09-17 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspe