Structural Equation Modelling with Partial Least Squares Using Stata and R

Mehmet Mehmetoglu, Sergio Venturini (Autoren)

Buch | Softcover

347 Seiten

2022
Chapman & Hall/CRC (Verlag)
978-0-367-70183-3 (ISBN)

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Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages.

This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes.

Features:

Intuitive and technical explanations of PLS-SEM methods

Complete explanations of Stata and R packages

Lots of example applications of the methodology

Detailed interpretation of software output

Reporting of a PLS-SEM study

Github repository for supplementary book material

The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

Mehmet Mehmetoglu is a professor of research methods in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research interests include consumer psychology, evolutionary psychology and statistical methods. Mehmetoglu has co/publications in about 30 different refereed international journals such as Journal of Statistical Software, Personality and Individual Differences, and Evolutionary Psychological Science. Sergio Venturini is an Associate Professor of Statistics in the Management Department at the Università degli Studi di Torino (Italy). His research interests include Bayesian data analysis methods, meta-analysis and statistical computing. He coauthored many publications that have been published in different refereed international journals such as Annals of Applied Statistics, Bayesian Analysis and Journal of Statistical Software.

Part I Preliminaries and Basic Methods
1. Framing Structural Equation Modelling
2. Multivariate Statistics Prerequisites
3. PLS Structural Equation Modelling: Specification and Estimation
4. PLS Structural Equation Modelling: Assessment and Interpretation

Part II Advanced Methods
5. Mediation AnalysisWith PLS-SEM
6. Moderating/Interaction Effects Using PLS-SEM
7. Detecting Unobserved Heterogeneity in PLS-SEM

Part III Conclusions
8. How to Write Up a PLS-SEM Study

Part IV Appendices
A. Basic Statistics Prerequisites

Erscheinungsdatum	17.08.2022
Zusatzinfo	17 Tables, black and white; 127 Illustrations, black and white
Sprache	englisch
Maße	156 x 234 mm
Gewicht	580 g
Themenwelt	Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-10	0-367-70183-9 / 0367701839
ISBN-13	978-0-367-70183-3 / 9780367701833
Zustand	Neuware