A Joint Use of PLS Regression and PLS Path Modelling for a Data Analysis Approach to Latent Variable Modelling
نویسندگان
چکیده
Vincenzo Esposito Vinzi; Giorgio Russolillo; Laura Trinchera ESSEC Business School of Paris, Avenue Bernard Hirsch B.P. 50105 Cergy-Pontoise 95021, France. Università degli Studi di Napoli \Federico II" Dipartimento di Matematica e Statistica Via Cintia Complesso Monte S. Angelo, Napoli 80126, Italy. Università degli Studi di Macerata Dipartimento di Studi sullo Sviluppo Economico Piazza Oberdan, 3, Macerata 62100, Italy. E-mail: [email protected]; [email protected]; [email protected]
منابع مشابه
New Estimation Procedures for PLS Path Modelling
X. Bry Laboratoire LISE-CEREMADE, Université de Paris IX Dauphine Email : [email protected] Abstract : Given R groups of numerical variables X1, ... XR, we assume that each group is the result of one underlying latent variable, and that all latent variables are bound together through a linear equation system. Moreover, we assume that some explanatory latent variables may interact pairwise in o...
متن کاملPartial Least Squares Structural Equation Modeling Approach for Analyzing a Model with a Binary Indicator as an Endogenous Variable
In this paper, we focus on PLS-SEM’s ability to handle models with observable binary outcomes. We examine the different ways in which a binary outcome may appear in a model and distinguish those situations in which a binary outcome is indeed problematic versus those in which one can easily incorporate it into a PLS-SEM analysis. Explicating such details enables IS researchers to distinguish dif...
متن کاملStructural Equation Modeling (SEM) Using PLS-Graph Software: A Tool for Quantitative Researchers Analyzing Path-Based Models
This proposed tutorial, relating to the topic of quantitative research methods, will demonstrate how to use the basic and more advanced features of PLS-Graph software in the analysis of path-based Structural Equation Models (SEM) using latent variable constructs. Instructions for obtaining the PLS-Graph software (beta version 3 build 1126) will be provided to tutorial participants. PLS-Graph ma...
متن کاملAn Integrated Pls Regression-based Approach for Multidimensional Blocks in Pls Path Modeling
PLS Path Modeling (PLS-PM) is classically regarded as a component-based approach to Structural Equation Models and has been more recently revisited as a general framework for multiple table analysis. Here we propose two new modes for estimating outer weights in PLS-PM: the PLScore Mode and the PLScow Mode. Both modes involve integrating a PLS Regression as an estimation technique within the out...
متن کاملWhat is Predictive about Partial Least Squares?
Partial least squares (PLS) estimation of path models has become very popular in IS research, as an alternative to covariance-based methods. PLS path modeling is often referred to as being useful for “predictive” applications. In this work, we investigate the predictive aspects of PLS path modeling and its relation to predictive analytics and predictive assessment. In particular, we compare it ...
متن کامل