Structural equation modelling with partial least squares using Stata and R (Record no. 4461)

MARC details
000 -LEADER
fixed length control field 03010nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230113104607.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230113b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367701833
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.42
Item number MEH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mehmetoglu, Mehmet
245 ## - TITLE STATEMENT
Title Structural equation modelling with partial least squares using Stata and R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boco Raton
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxxvii, 345 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 42.99
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>Part I Preliminaries and Basic Methods<br/>1. Framing Structural Equation Modelling<br/>2. Multivariate Statistics Prerequisites<br/>3. PLS Structural Equation Modelling: Specification and Estimation<br/>4. PLS Structural Equation Modelling: Assessment and Interpretation<br/><br/>Part II Advanced Methods<br/>5. Mediation AnalysisWith PLS-SEM<br/>6. Moderating/Interaction Effects Using PLS-SEM<br/>7. Detecting Unobserved Heterogeneity in PLS-SEM<br/><br/>Part III Conclusions<br/>8. How to Write Up a PLS-SEM Study<br/><br/>Part IV Appendices<br/>A. Basic Statistics Prerequisites
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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.<br/><br/>Features:<br/><br/>Intuitive and technical explanations of PLS-SEM methods<br/>Complete explanations of Stata and R packages<br/>Lots of example applications of the methodology<br/>Detailed interpretation of software output<br/>Reporting of a PLS-SEM study<br/>Github repository for supplementary book material<br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Structural equation modeling
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Least squares
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Venturini, Sergio
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 575/22-23 30-12-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/13/2023 T V Enterprises 2829.42   511.42 MEH 004188 01/13/2023 1 4303.30 01/13/2023 Book

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