Results 21 to 30 of about 6,834,354 (294)
Exploratory Structural Equation Modeling of Personality Data [PDF]
The current article compares the use of exploratory structural equation modeling (ESEM) as an alternative to confirmatory factor analytic (CFA) models in personality research.
Hughes, David; id_orcid +2 more
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The model of creating an entrepreneurial attitude of tourism students (case study: tourism students of universities in Yazd province) [PDF]
The purpose of this research is to design a model for creating entrepreneurial attitudes among tourism students at universities in Yazd . The statistical population of this research includes two groups: tourism experts and tourism students from ...
Ali Saffari Darberazi +3 more
doaj +1 more source
On Structural Equation Model Equivalence
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
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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The literature on non-linear structural equation modeling is plentiful. Despite this fact, few studies consider interactions between exogenous and endogenous latent variables.
Jin, Shaobo +5 more
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Structural Equation Modeling for Employee Empowerment Policymaking [PDF]
The present study was conducted with the aim of modeling the structural equations of employee empowerment policy at Payam Noor University. This study was a descriptive survey, and quantitative data were collected using a researcher-made questionnaire ...
Abbas Atapour +3 more
doaj +1 more source
Subgroup discovery in structural equation models.
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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Dynamic Structural Equation Models
This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time. DSEM is suitable for analyzing intensive longitudinal data where observations from multiple individuals are collected at many points in time.
Asparouhov, T. +2 more
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Structural equation modeling results.
Structural equation modeling results.
Jingying Liu (612035) +4 more
core +1 more source
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM).
Henseler, Jorg +5 more
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