Structural equation modelling with partial least squares using stata and R (Record no. 128275)

000 -LEADER
fixed length control field 03627cam a2200481Mi 4500
001 - CONTROL NUMBER
control field 9780429170362
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193020.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201020s2020 flua fo 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1482227827
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429170362
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 042917036X
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781482227826
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429543555
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429543557
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429528859
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 042952885X
-- (electronic bk. : EPUB)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9780429170362
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1240715173
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1240715173
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA275
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code JMB
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.42
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mehmetoglu, Mehmet,
Relator term author.
245 10 - TITLE STATEMENT
Title Structural equation modelling with partial least squares using stata and R
Statement of responsibility, etc Mehmet Mehmetoglu, Sergio Venturini.
264 #1 -
-- Boca Raton :
-- Chapman & Hall/CRC,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
Other physical details illustrations (black and white)
336 ## -
-- text
-- rdacontent
336 ## -
-- still image
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
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. 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 material 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.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Least squares.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Structural equation modeling.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS / Probability & Statistics / General
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Venturini, Sergio,
Relator term author.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429170362
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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