A primer on partial least squares structural equations modeling (PLS-SEM) (Record no. 1404)

MARC details
000 -LEADER
fixed length control field 05397nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220425165431.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211026b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781544396408
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.42
Item number HAI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hair, Joseph F.
245 ## - TITLE STATEMENT
Title A primer on partial least squares structural equations modeling (PLS-SEM)
250 ## - EDITION STATEMENT
Edition statement 3rd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publications, Inc.
Place of publication, distribution, etc. Los Angeles
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xx, 363 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 45.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of content<br/><br/>Preface<br/> <br/>About the Authors<br/> Chapter 1. An Introduction to Structural Equation Modeling <br/>Chapter Preview<br/> <br/>What Is Structural Equation Modeling?<br/> <br/>Considerations in Using Structural Equation Modeling<br/> <br/>Principles of Structural Equation Modeling<br/> <br/>PLS-SEM, CB-SEM, and Regressions Based on Sum Scores<br/> <br/>Considerations When Applying PLS-SEM<br/> <br/>Guidelines for Choosing Between PLS-SEM and CB-SEM<br/> <br/>Organization of Remaining Chapters<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 2. Specifying the Path Model and Examining Data <br/>Chapter Preview<br/> <br/>Stage 1: Specifying the Structural Model<br/> <br/>Stage 2: Specifying the Measurement Models<br/> <br/>Stage 3: Data Collection and Examination<br/> <br/>Case Study Illustration—Specifying the PLS-SEM Model<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 3. Path Model Estimation <br/>Chapter Preview<br/> <br/>Stage 4: Model Estimation and the PLS-SEM Algorithm<br/> <br/>Case Study Illustration—PLS Path Model Estimation (Stage 4)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 4. Assessing PLS-SEM Results—Part I: Evaluation of the Reflective Measurement Models <br/>Chapter Preview<br/> <br/>Overview of Stage 5: Evaluation of Measurement Models<br/> <br/>Stage 5a: Assessing Results of Reflective Measurement Models<br/> <br/>Case Study Illustration—Evaluation of the Reflective Measurement Models (Stage 5a)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 5. Assessing PLS-SEM Results—Part II: Evaluation of the Formative Measurement Models <br/>Chapter Preview<br/> <br/>Stage 5b: Assessing Results of Formative Measurement Models<br/> <br/>Case Study Illustration—Evaluation of the Formative Measurement Models (Stage 5b)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 6. Assessing PLS-SEM Results—Part III: Evaluation of the Structural Model <br/>Chapter Preview<br/> <br/>Stage 6: Structural Model Results Evaluation<br/> <br/>Case Study Illustration—Evaluation of the Structural Model (Stage 6)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 7. Mediator and Moderator Analysis <br/>Chapter Preview<br/> <br/>Mediation<br/> <br/>Moderation<br/> <br/>Case Study Illustration—Moderation<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> Chapter 8. Outlook on Advanced Methods <br/>Chapter Preview<br/> <br/>Importance-Performance Map Analysis<br/> <br/>Necessary Condition Analysis<br/> <br/>Higher-Order Constructs<br/> <br/>Confirmatory Tetrad Analysis<br/> <br/>Examining Endogeneity<br/> <br/>Treating Observed and Unobserved Heterogeneity<br/> <br/>Measurement Model Invariance<br/> <br/>Consistent PLS-SEM<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> <br/>Glossary<br/> <br/>References<br/> <br/>Index<br/><br/><br/>Purchasing options<br/>Please select a format:<br/><br/><br/>Paperback<br/>ISBN: 9781544396408<br/>$45.00<br/>Order from:<br/>Buy from SAGE<br/>Amazon<br/>FlipKart<br/>Related Products<br/>Advanced Issues in Partial Least Squares Structural Equation Modeling<br/>Advanced Issues in Partial Least Squares Structural Equation Modeling<br/>
520 ## - SUMMARY, ETC.
Summary, etc. The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity. <br/><br/><br/><br/>
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 Hult, G. Tomas M
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ringle, Christian M.
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 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 Bill No Bill Date
    Dewey Decimal Classification     Operations Management & Quantitative Techniques Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 10/26/2021 Overseas Press India Private 2360.74   511.42 HAI 001564 10/26/2021 1 3523.50 10/26/2021 Book IN29768 19-10-2021

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha