Results 241 to 250 of about 6,834,354 (294)
Social alienation among people with bladder cancer: A combined structural equation modeling and fuzzy-set qualitative comparative analysis. [PDF]
Asia Pac J Oncol NursYang Y +9 more
europepmc +1 more source
Factors Influencing Customer Satisfaction and Behavioral Intention in Local Food Tourism: A Structural Equation Modeling Approach. [PDF]
F1000ResMadhyamapurush W.
europepmc +1 more source
Genomic Structural Equation Modeling Reveals Cardiovascular-Kidney-Metabolic Syndrome Genetic Architecture. [PDF]
J DiabetesLu C, Li L, Chen J, Chang R, Dong H.
europepmc +1 more source
Mapping Mpox vaccine hesitancy using an integrated machine learning and structural equation modeling approach. [PDF]
Sci RepSultana N, Haque MA.
europepmc +1 more source
Emotional intelligence and clinical competence among nursing interns: a structural equation modeling study. [PDF]
Front Med (Lausanne)Alshutwi SS, Aldhafeeri NA, Alenezi L.
europepmc +1 more source
Some of the next articles are maybe not open access.
Journal of Management Analytics, 2021
Interpretive structural modeling (ISM) is an interactive process in which a malformed (bad structured) problem is structured into a comprehensive systematic model.
Moslem Alimohammadlou +2 more
exaly +2 more sources
Interpretive structural modeling (ISM) is an interactive process in which a malformed (bad structured) problem is structured into a comprehensive systematic model.
Moslem Alimohammadlou +2 more
exaly +2 more sources
Regularized Structural Equation Modeling [PDF]
Structural Equation Modeling, 2016 A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models.
Kevin J. Grimm
exaly +3 more sources
2011
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path ...
Catherine M, Stein +2 more
+5 more sources
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path ...
Catherine M, Stein +2 more
+5 more sources
On the use of structural equation models for marketing modeling
International Journal of Research in Marketing, 2000We reflect on the role of structural equation modeling (SEM) in marketing modeling and managerial decision making. We discuss some benefits provided by SEM and alert marketing modelers to several recent developments in SEM in three areas: measurement analysis, analysis of cross-sectional data, and analysis of longitudinal data.
Hans Baumgartner
exaly +3 more sources