01102nam0 22002771i 450 UON0033756320231205104245.55520091012d1972 |0itac50 bafreFR|||| |||||ˆLe ‰front populaire(la France de 1934 a 1939)Claude Willardet alii] ; introduction et méthodologie par Jean ElleinsteinParisEditions Sociales1972173 p.18 cm.001UON003375742001 Notre temps. Histoire2FRANCIASTORIA1934-1939UONC073567FIFRParisUONL002984WILLARDClaudeUONV190626173520ELLEINSTEINJeanUONV181988Editions SocialesUONV249242650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00337563SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI III STORIAEUR D C 0405 SI SC 45840 5 0405 Front populaire1363613UNIOR03071nam 22005893u 450 991050850490332120230912171637.0(CKB)5590000000630166EBL6798733(OCoLC)1285074600(AU-PeEL)EBL6798733(oapen)https://directory.doabooks.org/handle/20.500.12854/72839(MiAaPQ)EBC6798733(PPN)258842555(oapen)doab72839(EXLCZ)99559000000063016620220617d2021|||| fy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierPartial least squares structural equation modeling (PLS-SEM) using R a workbook /Joseph F. Hair [et al.]Cham Springer International Publishing AG20211 online resource (xiv, 197 pages) illustrations (some color)Classroom companion.BusinessDescription based upon print version of record.3-030-80519-0 3-030-80518-2 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. 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-SEMClassroom companion.BusinessFinanceMathematical modelsLeast squaresR (Computer program language)Structural equation modelingFinanceMathematical models.Least squares.R (Computer program language)Structural equation modeling.Hair Joseph F.Jr.,1944-1259389Hult G. Tomas M874377Ringle Christian M1237324Sarstedt Marko789430Danks Nicholas P1237325Ray Soumya1237326AU-PeELAU-PeELAU-PeELBOOK9910508504903321Partial least squares structural equation modeling (PLS-SEM) using R2918215UNINA