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Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
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Structural Equation Modelling With Partial Least Squares Using Stata and R
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 44651818-n
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Structural Equation Modelling with Partial Least Squares Using Stata and R (Paperback)
Edité par
Taylor & Francis Ltd, London, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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 materialThe 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780367701833
Quantité disponible : 1 disponible(s)
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Taylor & Francis Group, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. 1st edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26394757592
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Feb2215580160620
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Taylor & Francis Group, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Structural Equation Modelling With Partial Least Squares Using Stata and R
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Ancien ou d'occasion
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 44651818
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Taylor & Francis Group, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. N° de réf. du vendeur 18394757586
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Structural Equation Modelling with Partial Least Squares Using Stata and R
Edité par
Taylor & Francis Ltd, 2022
ISBN 10 : 0367701839
ISBN 13 : 9780367701833
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 185. N° de réf. du vendeur B9780367701833
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Structural Equation Modelling with Partial Least Squares Using Stata and R
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9780367701833
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