Partial least squares structural equation modeling (PLS-SEM) using R: a workbook (Record no. 2786)

MARC details
000 -LEADER
fixed length control field 01897nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220813112343.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220718b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030805180
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 Partial least squares structural equation modeling (PLS-SEM) using R: a workbook
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Switzerland
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 197 p.
365 ## - TRADE PRICE
Price type code EURO
Price amount 49.99
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification.<br/><br/>This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
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 Finance--Mathematical models
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.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Marko Sarstedt
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 TB842 30-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 07/18/2022 Technical Bureau India Pvt. Ltd. 2826.68   511.42 HAI 002846 07/18/2022 1 4299.14 07/18/2022 Book

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