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A framework for power analysis using a structural equation modelling procedure [PDF]
BMC Medical Research Methodology, 2003 Background This paper demonstrates how structural equation modelling (SEM) can be used as a tool to aid in carrying out power analyses. For many complex multivariate designs that are increasingly being employed, power analyses can be difficult to carry ...
Miles Jeremy
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Capital structure of Portuguese hotel firms: a structural equation modelling approach [PDF]
Tourism & Management Studies, 2018 This paper addresses capital structure determinants for Portuguese hotel firms between 2006 and 2014. Secondary data from 356 hotel units was analysed using the partial least squares (PLS) statistical technique, a variance-based structural equation ...
Fernanda Matias +2 more
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General guidance for custom-built structural equation models [PDF]
One 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
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Designing and Explaining the Organizational Intelligent Model with a Mixed Qualitative and Quantitative Approach [PDF]
تعاون 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
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Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach [PDF]
Journal 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
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, 2017 Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communication research are confirmatory factor analysis (CFA) and ...
Baumgartner, Hans, Weijters, Bert
+10 more sources
Factors Affecting Entrepreneurship Behavior: Variance-Based Structural Equation Modelling
Indonesian 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
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Modelling pathways to Rubisco degradation: a structural equation network modelling approach. [PDF]
PLoS 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
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Functional Structural Equation Model
Journal 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
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A 'Weight of Evidence' approach to evaluating structural equation models [PDF]
One 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
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