MARC Record from marc_columbia

LEADER: 04870cam a2200601Mi 4500
001 15446097
005 20220423235731.0
006 m o d
007 cr |||||||||||
008 201020s2020 flua fo 000 0 eng d
035 $a(OCoLC)on1240715173
035 $a(NNC)15446097
040 $aUKAHL$beng$erda$epn$cUKAHL$dTYFRS$dOCLCO$dUKMGB$dTYFRS$dOCLCF$dSOE$dOCLCO
015 $aGBC0G7779$2bnb
016 7 $a019991265$2Uk
019 $a1287877604
020 $a1482227827
020 $a9780429170362$q(electronic bk.)
020 $a042917036X$q(electronic bk.)
020 $a9781482227826$q(electronic bk. : PDF)
020 $a9780429543555$q(electronic bk. : Mobipocket)
020 $a0429543557$q(electronic bk. : Mobipocket)
020 $a9780429528859$q(electronic bk. : EPUB)
020 $a042952885X$q(electronic bk. : EPUB)
024 7 $a10.1201/9780429170362$2doi
035 $a(OCoLC)1240715173$z(OCoLC)1287877604
037 $a9780429170362$bTaylor & Francis
050 4 $aQA275
072 7 $aMAT$x029000$2bisacsh
072 7 $aJMB$2bicssc
082 04 $a511.42$223
049 $aZCUA
100 1 $aMehmetoglu, Mehmet,$eauthor.
245 10 $aStructural equation modelling with partial least squares using stata and R$cMehmet Mehmetoglu, Sergio Venturini.
264 1 $aBoca Raton :$bChapman & Hall/CRC,$c2020.
300 $a1 online resource$billustrations (black and white)
336 $atext$2rdacontent
336 $astill image$2rdacontent
337 $acomputer$2rdamedia
338 $aonline resource$2rdacarrier
520 $aPartial 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.
545 0 $aMehmet Mehmetoglu is a professor of research methods in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research interests include consumer psychology, evolutionary psychology and statistical methods. Mehmetoglu has co/publications in about 30 different refereed international journals such as Journal of Statistical Software, Personality and Individual Differences, and Evolutionary Psychological Science. Sergio Venturini is an Associate Professor of Statistics in the Management Department at the Università degli Studi di Torino (Italy). His research interests include Bayesian data analysis methods,meta-analysisandstatistical computing. He coauthored many publications that have been published in differentrefereed international journals such as Annals of Applied Statistics, Bayesian Analysis and Journal of Statistical Software.
650 0 $aLeast squares.
650 0 $aStructural equation modeling.
650 6 $aModèles d'équations structurales.
650 7 $aMATHEMATICS / Probability & Statistics / General$2bisacsh
650 7 $aLeast squares.$2fast$0(OCoLC)fst00995082
650 7 $aStructural equation modeling.$2fast$0(OCoLC)fst01738928
655 4 $aElectronic books.
700 1 $aVenturini, Sergio,$eauthor.
776 $z0-367-70183-9
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15446097$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS