Results 1 to 10 of about 4,272,876 (294)
A Spatial Structural Derivative Model for Ultraslow Diffusion [PDF]
arXiv, 2017 This study investigates the ultraslow diffusion by a spatial structural derivative, in which the exponential function exp(x)is selected as the structural function to construct the local structural derivative diffusion equation model. The analytical solution of the diffusion equation is a form of Biexponential distribution.
Chen, Wen +3 more
arxiv +3 more sources
Structural equation modeling in epidemiology [PDF]
Cadernos de Saúde Pública, 2010 Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts
Leila Denise Alves Ferreira Amorim +10 more
doaj +6 more sources
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Journal of the Academy of Marketing Science, 2015 Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the ...
Christian M Ringle +2 more
exaly +2 more sources
Structural Equation Modeling [PDF]
, 2017 The term structural equation modeling (SEM) refers to a family of multivariate techniques concerned with the examination of relationships between constructs (conceptual or latent variables) that can generally be measured only imperfectly by observed variables.
Baumgartner, Hans, Weijters, Bert
+16 more sources
Essentials of Structural Equation Modeling [PDF]
, 2018 Structural Equation Modeling is a statistical method increasingly used in scientific studies in the field of Social Sciences. Nowadays, it is a preferred analysis method especially in doctoral dissertations and academic researches. However, since most of the universitiesdo not include this method in the curriculum of undergraduate and graduate courses,
Civelek, Mustafa Emre
openaire +5 more sources
Hierarchical Structural Analysis Method for Complex Equation-oriented Models [PDF]
Mathematics 2021, 9, 2660, 2021 Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis. However, the large-scale equations in complex models make structural analysis difficult.
arxiv +1 more source
Asia Pacific Journal of Management, 2023 Many constructs in management studies, such as perceptions, personalities, attitudes, and behavioral intentions, are not directly observable. Typically, empirical studies measure such constructs using established scales with multiple indicators. When the
Gordon W. Cheung +3 more
semanticscholar +1 more source
Psychology & Marketing, 2022 Munich School of Management, Ludwig‐Maximilians‐University Munich, Munich, Germany Faculty of Economics and Business Administration, Babeș‐Bolyai University, Cluj‐Napoca, Romania Mitchell College of Business, University of South Alabama, Mobile, Alabama,
M. Sarstedt +5 more
semanticscholar +1 more source
Structural equation modeling of political discussion networks [PDF]
, 2017 This study conducts structural equation modeling (SEM) of political discussion networks. It examines multiple relationships between political discussion networks—network size and non-kin composition, political efficacy, and neighborhood conversation ...
Li, Xiaoqian
core +1 more source
HTMT2-an improved criterion for assessing discriminant validity in structural equation modeling
Industrial management & data systems, 2021 PurposeOne popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT).
Ellen Roemer +2 more
semanticscholar +1 more source