Results 21 to 30 of about 6,344,239 (243)
Structural Equation Modeling of In silico Perturbations
Frontiers in Genetics, 2021 Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model organism and extrapolate them to biological processes in ...
Jianying Li +12 more
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On Structural Equation Model Equivalence
Multivariate Behavioral Research, 1999 A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of
Raykov, T, Penev, Spiridon
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Products of Variables in Structural Equation Models
Structural Equation Modeling: A Multidisciplinary Journal, 2023 A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of variance due to the multiplicands. The result is a new category of SEM which we call a Products of Variables Model (PoV).
Steven M. Boker +6 more
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Modeling Model Misspecification in Structural Equation Models
Stats, 2023 Structural equation models constrain mean vectors and covariance matrices and are frequently applied in the social sciences. Frequently, the structural equation model is misspecified to some extent.
Alexander Robitzsch
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EMPOWERMENT AND TRANSFORMATIONAL LEADERSHIP BEHAVIORS AND EMPLOYEE WELL-BEING: THE MEDIATING ROLE OF ORGANIZATIONAL SUPPORT [PDF]
Journal of Applied Structural Equation ModelingThis study examines the comparative influence of empowerment leadership and transformational leadership behaviours on employees' psychological well-being (PWB) while considering the mediating effect of perceived organisational support.
Sara T. Msuya
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A semiparametric approach for structural equation modeling with ordinal data
, 2021 There is currently a lack of methods for non-linear structural equation modeling (NSEM) for non-parametric relationships between latent variables when data are ordinal. To this end, a semiparametric approach for flexible NSEMs without parametric forms is
Vegelius, Johan, Jin, Shaobo
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CONVENIENCE SAMPLING: A REVIEW AND GUIDELINES FOR QUANTITATIVE RESEARCH [PDF]
Journal of Applied Structural Equation ModelingConvenience sampling is widely used in business and management research, yet its application in quantitative studies is often criticized for lacking rigor and transparency.
Mumtaz Ali Memon +3 more
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Subgroup discovery in structural equation models.
Psychological Methods, 2021 Structural equation modeling (SEM) is one of the most popular statistical frameworks in the social and behavioural sciences. Often, detection of groups with distinct sets ofparameters in structural equation models (SEM) are of key importance for appliedresearchers, for example, when investigating differential item functioning for a mentalability test ...
Christoph Kiefer +3 more
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Improving generalizability coefficient estimate accuracy: A way to incorporate auxiliary information
Methodological Innovations, 2018 Initially proposed by Marcoulides and further expanded by Raykov and Marcoulides, a structural equation modeling approach can be used in generalizability theory estimation.
Zhehan Jiang +3 more
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Efficient Bayesian Structural Equation Modeling in Stan
Journal of Statistical Software, 2021 Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 more
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