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Karuranga, Égide
1 Diffusion and acceptance of wood roof trusses technology in a network of Chinese industry key-players: a structural equation model Égide Karuranga Zhan Su Robert Beauregard WORKING PAPER NO DT-2006-ZS-2 FOR@C, CIBISA, CENTOR 2006
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Caron, Pier-Olivier, 1990- auteur
Zheng, Lili, 1983- auteur
Karuranga, Égide, auteur
chain collaboration based on data from 321 companies from the Quebec forest products industry using structural equations modeling.In spite of the generalowevel of collaboration in this traditional industry, a first order measurement model followed by a second order confirmatory factor analysis suggest that
Guay, Frédéric, 1970-
based on a sample of 1,505 children.The Mplus (5.21) software program was used to construct structural equation models for the purposes of this fascicle.Compared to other statistical methods, these models have the advantage of providing answers to many questions simultaneously, estimating intra-individual changes and
Dufour, Jean-Marie, auteur
criteria assessing alternative procedures. Keywords: hypothesis testing, confidence set, confidence interval, identification, testability, asymptotic theory, exact inference, pivotal function, nonparametric model, Bahadur-Savage, heteroskedasticity, serial dependence, unit root, simultaneous equations, structural
Blais, Ann-Renée, auteur
, coping, cognitive appraisals, personality traits, decision domain, structural equation modeling 1 Introduction Emotions and Decision Making How do emotions such as fear, stress, and anger influence decisions?How, if at all, should they be incorporated into the decision making process?Expected utility models, widely used in
Riddle, Andrea S. auteur
évalués à'aide d'analyses de modélisation par équations structurales : un modèle unidimensionnel, deux modèles à trois dimensions, un modèle à quatre facteurs et un modèle hiérarchique.Les deux derniers modèles se sont avéréses meilleurs.Les analyses multi-groupes révèlent quee modèle hiérarchique étaite plus
Hosken, Daniel S. auteur
, syndicat du secteur public, éducation Abstract : This paper develops a bargaining model of wage and employment determination for the public sectror. The solution to the model generates structural wage and employment equations that are estimated using data from New York State teacher-school district collective bargaining
Boiral, Olivier
: application to state self-esteem.» Structural Equation Modeling 1(1): 35-67. 4. Bansal, P., &. Roth, K. 2000. Why companies go green: A model of ecological responsiveness. Academy of Management Journal, 43(4): 717–736. 5. Bansal, P.: 2003, “From Issues to Actions: The Importance of Individual Concerns and Organizational
Rouse, Anne C. auteur
measure of outsourcing success.Consequently, the authors tested several alternative models using structural equation modelling (SEM, also known as covariance structure analysis).A number of models that might have been expected to be appropriate showed poor fit for the data.The model that did fit the data has some important
Tchatoka, Firmin Doko, auteur
variables.Theseatent variablesare in a senseeft out from structural equations, but they remain hidden in structural disturbances.For example, in a wide set of economic models, they may represent unobservedatent variables, such as “surprise variables” which play a role in models with expectations [see Barro (1977), Dufour
Tchatoka, Firmin Doko
Tremblay, Michel, 1954- auteur
structural equation model.The findings showed that the three equity referents of organizational justice (internal, external and employee) areinked to pay satisfaction, and that distributive justice is a better predictor of pay satisfaction than procedural justice perceptions.In contrast, procedural justice is a better
Doonan, Julie, auteur
.Methodology and Data The model The model presented in Figure 1 can be translated into a structural equation model of the following general form: η βη Γξ ζ where: η is a m X 1 vector ofatent endogenous variables; β is a m X m matrix of coefficients to be estimated; Γ is a m X n matrix of coefficients to be estimated
: une réflexion prospective.Cahiers Agricultures, 21(5), 285‑292, Centre IRD de Bondy.Krishnakumar, J.et Ballon, P.(2008).Estimating basic capabilities : A Structural Equation Model applied to Bolivia.World Development, 36(6), 992‑1010.Mabsout, R.(2011).The capability approach : from ethical foundations to empirical
- gression framework applies so theatter F-test can be referred to its usual F or χ2 cut-off points. Tests of this type were originally proposed by Anderson and Rubin (1949) forinear Gaussian simultaneous equations models. The AR approach transforms a structural equation such as (3.2) into the regular regression framework
Tiwari, Amaresh K. auteur
combines the method of “Correlated Random Effects” and “Control Function” to account for the endogeneity of regressors in a structural equations model, is developed.Keywords: Financial Constraints, Capital Structure, R&D, Innovation, Firm Dynamics, Market Failure, Panel Data, Correlated Random Effects, Control Function
structurelles, relations statiques versus dynamiques Keywords: Depression, multidimensionality, French version of CES-D, Confirmatory factor analysis, Structural equation modeling.* Université du Québec à Montréal and CIRANO - 1 - Static Versus Dynamic Structural Models of Depression: The Case of the CES-D Some of the most widely
Raymond, Wladimir, auteur
iterature on simultaneous equations models, equation (3.5) is referred to as restricted reduced form when written with all the parameters of the structural form and unrestricted reduced form when written with the underlined parameters. In theatter case, γ1ϑ11 would constitute a new coefficient, say ϑ11. The restricted
