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The content explains what PLS-SEM is, what analyses it supports, and the terminology used in PLS-SEM. It also covers essential prerequisites for multivariate analysis, including bootstrapping, principal component analysis, segmentation methods, and path analysis, followed by R command appendices.","Structural Equation Modelling with Partial Least Squares Using Stata and R  \nStructural Equation Modelling with Partial Least Squares Using Stata and R  \nMehmet Mehmetoglu  \nDepartment of Psychology, Norwegian University of Science and Technology  \nSergio Venturini Department of Management, Università degli Studi di Torino  \nFirst edition published 2021 by CRC Press  \n6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742  \nand by CRC Press  \n2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN © 2021 Taylor & Francis Group, LLC  \nCRC Press is an imprint of Taylor & Francis Group, LLC  \nThe right of Mehmet Mehmetoglu and Sergio Venturini to be identified as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.  \nReasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproducedin this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.  \nExcept as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.  \nFor permission to photocopy or use material electronically from this work, [access www.copyright.com](access www.copyright.com)[ ](access www.copyright.com)[or contact the Copyright Clearance Center](or contact the Copyright Clearance Center), Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact mpkbookspermissions@tandf. [co.uk](co.uk)  \nTrademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.  \nISBN: 9781482227819 (hbk)  \nISBN: 9780429170362 (ebk)  \nTypeset in CMR10  \nby KnowledgeWorks Global Ltd.  \nTo Rannvei Sæther [M]  \nA Deborah, il mio tesoro più prezioso,  \nper quello chefai,  \nper quello che sei [S]  \nContents  \nPreface xiii  \nAuthors xix  \nList of Figures xxi  \nList of Tables xxix  \nList of Algorithms xxxi  \nAbbreviations xxxiii  \nGreek Alphabet xxxvii  \nI Preliminaries and Basic Methods 1  \n1 Framing Structural Equation Modelling 3  \n1.1 What Is Structural Equation Modelling? ............... 3  \n1.2 Two Approaches to Estimating SEM Models ............ 6  \n1.2.1 Covariance-based SEM .................... 6  \n1.2.2 Partial least squares SEM ................... 8  \n1.2.3 Consistent partial least squares SEM ............. 9  \n1.3 What Analyses Can PLS-SEM Do? ................. 10  \n1.4 The Language of PLS-SEM ..................... 11  \n1.5 Summary ............................... 13  \n2 Multivariate Statistics Prerequisites 15  \n2.1 Bootstrapping ............................. 15  \n2.2 Principal Component Analysis .................... 19  \n2.3 Segmentation Methods ........................ 28  \n2.3.1 Cluster analysis ........................ 28  \n2.3.1.1 Hierarchical clustering algorithms ........ 30  \n2.3.1.2 Partitional clustering algorithms .......... 39  \n2.3.2 Finite mixture models and model-based clustering ..... 42  \n2.3.3 Latent class analysis ..................... 48  \n2.4 Path Analysis ............................. 49  \n2.5 Getting to Partial Least Squares Structural Equation Modelling ... 56  \nviii Contents  \n2.6 Summary ............................... 59  \nAppendix: R Commands ............","cbCaiaEZ2kOvYp2J","https://ap.wps.com/l/cbCaiaEZ2kOvYp2J","pdf",11394181,2,1,385,"English","en",105,"# Preface\n# Authors\n# List of Figures\n# List of Tables\n# List of Algorithms\n# Abbreviations\n# Greek Alphabet\n# Framing Structural Equation Modelling\n## What Is Structural Equation Modelling?\n## Two Approaches to Estimating SEM Models\n## What Analyses Can PLS-SEM Do?\n## The Language of PLS-SEM\n## Summary\n# Multivariate Statistics Prerequisites\n## Bootstrapping\n## Principal Component Analysis\n## Segmentation Methods\n## Path Analysis\n## Getting to Partial Least Squares Structural Equation Modelling\n## Summary\n# PLS Structural Equation Modelling: Specification and Estimation\n## Introduction\n## Model Specification","[{\"question\":\"What is structural equation modelling and how does it connect to PLS-SEM?\",\"answer\":\"Structural equation modelling provides a framework for modelling relationships between variables. The text introduces PLS-SEM as one estimation approach and clarifies what PLS-SEM can analyze.\"},{\"question\":\"What are the two main approaches to estimating SEM models discussed in the book?\",\"answer\":\"The book distinguishes covariance-based SEM and partial least squares SEM, and also mentions consistent partial least squares SEM as an additional approach.\"},{\"question\":\"Which multivariate statistics prerequisites are covered before building PLS-SEM models?\",\"answer\":\"The prerequisites include bootstrapping, principal component analysis, segmentation methods (such as cluster analysis, finite mixture models, and latent class analysis), and path analysis, with further material provided in R command appendices.\"}]",1783088825,970,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"structural-equation-modelling-with-partial-least-squares-using-stata-and-r","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":20},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/structural-equation-modelling-with-partial-least-squares-using-stata-and-r/39986/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-13","2026-07-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is structural equation modelling and how does it connect to PLS-SEM?","Question",{"text":75,"@type":76},"Structural equation modelling provides a framework for modelling relationships between variables. The text introduces PLS-SEM as one estimation approach and clarifies what PLS-SEM can analyze.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What are the two main approaches to estimating SEM models discussed in the book?",{"text":80,"@type":76},"The book distinguishes covariance-based SEM and partial least squares SEM, and also mentions consistent partial least squares SEM as an additional approach.",{"name":82,"@type":73,"acceptedAnswer":83},"Which multivariate statistics prerequisites are covered before building PLS-SEM models?",{"text":84,"@type":76},"The prerequisites include bootstrapping, principal component analysis, segmentation methods (such as cluster analysis, finite mixture models, and latent class analysis), and path analysis, with further material provided in R command appendices.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]