LEADER 03199nam 22006253u 450 001 9910508504903321 005 20230221124014.0 035 $a(CKB)5590000000630166 035 $aEBL6798733 035 $a(OCoLC)1285074600 035 $a(AU-PeEL)EBL6798733 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72839 035 $a(PPN)258842555 035 $a(EXLCZ)995590000000630166 100 $a20220617d2021|||| fy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPartial least squares structural equation modeling (PLS-SEM) using R $ea workbook /$fJoseph F. Hair [et al.] 210 $aCham $cSpringer International Publishing AG$d2021 215 $a1 online resource (xiv, 197 pages) $cillustrations (some color) 225 1 $aClassroom companion.$pBusiness 300 $aDescription based upon print version of record. 311 1 $a3-030-80519-0 311 1 $a3-030-80518-2 330 $aPartial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM 410 0$aClassroom companion.$pBusiness 606 $aFinance$xMathematical models 606 $aLeast squares 606 $aR (Computer program language) 606 $aStructural equation modeling 610 $aOpen Access 610 $aPLS-SEM) Using R 610 $aWorkbook 610 $aPartial Least Squares Structural Equation Modeling 610 $aR Software Environment 615 0$aFinance$xMathematical models. 615 0$aLeast squares. 615 0$aR (Computer program language) 615 0$aStructural equation modeling. 700 $aHair$b Joseph F.$cJr.,$f1944-$01259389 701 $aHult$b G. Tomas M$0874377 701 $aRingle$b Christian M$01237324 701 $aSarstedt$b Marko$0789430 701 $aDanks$b Nicholas P$01237325 701 $aRay$b Soumya$01237326 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910508504903321 996 $aPartial least squares structural equation modeling (PLS-SEM) using R$92918215 997 $aUNINA