Laura Trinchera
Citée par
Citée par
PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement
V Esposito Vinzi, L Trinchera, S Amato
Handbook of Partial Least Squares: Concepts, Methods and Applications in …, 2010
plspm: Tools for Partial Least Squares Path Modeling (PLS-PM)
G Sanchez, L Trinchera, G Russolillo
R package version 0.4 1, 2013
REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
V Esposito Vinzi, L Trinchera, S Squillacciotti, M Tenenhaus
Applied Stochastic Models in Business and Industry 24 (5), 439-458, 2008
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares
É Le Floch, C Lalanne, V Frouin, P Pinel, L Trinchera, A Tenenhaus, ...
NeuroImage, 2012
Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity
SF Wamba, M Bhattacharya, L Trinchera, EWT Ngai
International Journal of Information Management 37 (2), 1-13, 2017
Capturing and treating unobserved heterogeneity by response based segmentation in PLS path modeling. a comparison of alternative methods by computational experiments
V Esposito Vinzi, CM Ringle, S Squillacciotti, L Trinchera
ESSEC Working Papers, 2007
Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling
L Trinchera
Università degli Studi di Napoli Federico II, 2008
New Perspectives in Partial Least Squares and Related Methods
H Abdi, WW Chin, V Esposito Vinzi, G Russolillo, L Trinchera
Series: Springer Proceedings in Mathematics & Statistics, Springer-Verlag,, 2013
Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation
SF Wamba, MM Queiroz, L Trinchera
International Journal of Production Economics 229, 107791, 2020
On the use of Structural Equation Models and PLS Path Modeling to build composite indicators
L Trinchera, G Russolillo
Working Papers, 2010
Turning information quality into firm performance in the big data economy
S Fosso Wamba, S Akter, L Trinchera, M De Bourmont
Management Decision, 2018
PLS typological path modeling: a model-based approach to classification
L Trinchera, S Squillacciotti, V Esposito Vinzi
Proceedings of KNEMO, 87, 2006
Using categorical variables in PLS Path Modeling to build system of composite indicators
L Trinchera, G Russolillo, CN Lauro
Statistica Applicata 20 (3-4), 309-330, 2008
The use of null models and partial least squares approach path modelling (PLS-PM) for investigating risk factors influencing post-weaning mortality in indoor pig farms
E Serrano, S López-Soria, L Trinchera, J Segalés
Epidemiology & Infection 142 (3), 530-539, 2014
Structural Equation Models and Student Evaluation of Teaching: A PLS Path Modeling Study
S Balzano, L Trinchera
Statistical Methods for the Evaluation of University Systems, 55-66, 2011
A distribution free interval estimate for Coefficient Alpha
L Trinchera, N Marie, GA Marcoulides
Structural Equation Modeling: A Multidisciplinary Journal 25 (6), 876-887, 2018
Modelling the effect of temperament on BMI through appetite reactivity and self-regulation in eating: a Structural Equation Modelling approach in young adolescents.
V Godefroy, L Trinchera, L Romo, N Rigal
International Journal of Obesity 40, 573–580, 2016
The Multiple Facets of Partial Least Squares and Related Methods
H Abdi, V Esposito-Vinzi, G Russolillo, G Saporta, L Trinchera
Springer Proceedings in Mathematics and Statistics, 2016
Globally sparse PLS regression
TY Liu, L Trinchera, A Tenenhaus, D Wei, AO Hero
New Perspectives in Partial Least Squares and Related Methods, 117-127, 2013
When “it depends” amounts to more than simple contingent relationships: Three canonical forms of inversions
FL Cavarretta, L Trinchera, DO Choi, ST Hannah
Journal of Organizational Behavior 37 (6), 933-945, 2016
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