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Posttraumatic growth and depreciation among Ukrainians: a structural equation modelling approach [PDF]

open access: yesEuropean Journal of Psychotraumatology
Background: War-related stressors can disrupt core beliefs and shape trauma outcomes, yet the distinct roles of moral processes in post-traumatic outcomes remain insufficiently understood.Objective: To examine how war-related stressors (WRS) and core ...
Mariia Mezhenska   +2 more
doaj   +2 more sources

General guidance for custom-built structural equation models [PDF]

open access: yesOne Ecosystem, 2022
Structural Equation Modelling (SEM) represents a quantitative methodology for specifying and evaluating causal network hypotheses. The application of SEM typically involves the use of specialised software packages that implement estimation procedures and
James Grace
doaj   +3 more sources

Designing and Explaining the Organizational Intelligent Model with a Mixed Qualitative and Quantitative Approach [PDF]

open access: yesتعاون و کشاورزی, 2022
The aim of this research was to design and explain the organizational Intelligent model in Iranian production cooperatives. Based on its objective, this is an applied research while it is a mixed (Qualitative-quantitative) research in terms of the nature
Tahereh Yadegari Taheri   +3 more
doaj   +1 more source

Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach [PDF]

open access: yesJournal of Information Technology Management, 2022
This study compared the performance of the partial least squares-structural equation modelling (PLS-SEM) and the robust partial least squares -structural equation modelling (RPLS-SEM) methods through Winsorisation approach The inputs and the outputs used
GholamReza Zandi   +3 more
doaj   +1 more source

Modelling pathways to Rubisco degradation: a structural equation network modelling approach. [PDF]

open access: yesPLoS ONE, 2014
'Omics analysis (transcriptomics, proteomics) quantifies changes in gene/protein expression, providing a snapshot of changes in biochemical pathways over time.
Catherine Tétard-Jones   +4 more
doaj   +1 more source

Factors Affecting Entrepreneurship Behavior: Variance-Based Structural Equation Modelling

open access: yesIndonesian Journal of Educational Research and Review, 2022
Entrepreneurship is widely recognized as one of the important elements for achieving success in today’s society because of its important contribution to economic growth, job creation, and technological advancement. This study aims to analyze empirically
Firman Firman   +4 more
doaj   +1 more source

A 'Weight of Evidence' approach to evaluating structural equation models [PDF]

open access: yesOne Ecosystem, 2020
It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM).
James Grace
doaj   +3 more sources

Functional Structural Equation Model

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2022
AbstractIn this article, we introduce a functional structural equation model for estimating directional relations from multivariate functional data. We decouple the estimation into two major steps: directional order determination and selection through sparse functional regression. We first propose a score function at the linear operator level, and show
Kuang-Yao, Lee, Lexin, Li
openaire   +2 more sources

Assessment of the Service Performance of Zakah Institutions in Gombe Metropolis, Nigeria

open access: yesInternational Journal of Islamic Economics and Finance, 2021
Zakah is an important tool in Islamic economic system, it plays a crucial role in reducing some social and economic problems such as poverty, unemployment, indebtedness and inequitable redistribution of income in the Muslim communities.
Sagir Muhammad Sulaiman   +2 more
doaj   +1 more source

Structural Equation Modeling

open access: yes, 2017
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed 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 ...
Catherine M, Stein   +3 more
  +8 more sources

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