Results 21 to 30 of about 6,834,354 (294)

Exploratory Structural Equation Modeling of Personality Data [PDF]

open access: yes, 2014
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
core   +1 more source

The model of creating an entrepreneurial attitude of tourism students (case study: tourism students of universities in Yazd province) [PDF]

open access: yesMuṭāli̒āt-i Mudīriyyat-i Gardishgarī
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

open access: yesMultivariate 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
openaire   +3 more sources

Products of Variables in Structural Equation Models

open access: yesStructural 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
openaire   +3 more sources

A Marginal Maximum Likelihood Approach for Extended Quadratic Structural Equation Modeling with Ordinal Data

open access: yes, 2020
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
core   +1 more source

Structural Equation Modeling for Employee Empowerment Policymaking [PDF]

open access: yesرویکرد‌های نوین در مدیریت و بازاریابی
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.

open access: yesPsychological 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
openaire   +4 more sources

Dynamic Structural Equation Models

open access: yesStructural Equation Modeling: A Multidisciplinary Journal, 2017
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
openaire   +3 more sources

Structural equation modeling results.

open access: yes, 2021
Structural equation modeling results.
Jingying Liu (612035)   +4 more
core   +1 more source

Structural parameters under partial least squares and covariance-based structural equation modeling : a comment on Yuan and Deng (2021)

open access: yes, 2023
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
core  

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