نتایج جستجو برای: Structural Equation Model (SEM)

تعداد نتایج: 2625117  

Journal: :Open Journal of Educational Development (ISSN: 2734-2050) 2020

Journal: :Economies 2023

The continuous loss of farmland in Indonesia is a major problem the food production industry. Gempol-Pandaan road, which section Trans Java toll road and connects cities Surabaya Malang, gives Pandaan District its strategic location. Sustainable Food Agriculture Land (SFAL) one strategy for expanding wetland farming. Therefore, this research aims to analyze connection between social capital lan...

Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis.  One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...

Journal: :Psychological methods 2008
Mike W-L Cheung

Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the behavioral, social, and medical sciences. They are generally treated as two unrelated topics in the literature. The present article proposes a model to integrate fixed-, random-, and mixed-effects meta-analyses into the SEM framework. By applying an appropriate transformation on the data, studies i...

1998
Judea Pearl

Structural equation modeling (SEM) has dominated causal analysis in the social and behavioral sciences since the 1960s. Currently, many SEM practitioners are having diiculty articulating the causal content of SEM and are seeking foundational answers. Recent developments in the areas of graphical models and the logic of causality show potential for alleviating such diiculties and thus for revita...

2013
Ahmad Nazim Sabri Ahmad

This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) had been used. The data were distributed by using two stage st...

Journal: :journal of research in health sciences 0
yahya khosravi hassan asilian-mahabadi ebrahim hajizadeh narmin hassanzadeh-rangi hamid bastani ali khavanin

background: there can be little doubt that the construction is the most hazardous industry in the worldwide. this study was designed to modeling the factors affecting unsafe behavior from the perspective of safety supervisors. methods: the qualitative research was conducted to extract a conceptual model. a structural model was then developed based on a questionnaire survey (n=266) by two stage ...

2014
Ferra Yanuar

Structural equation modelling (SEM) is a multivariate method that incorporates ideas from regression, path-analysis and factor analysis. A Bayesian approach to SEM may enable models that reflect hypotheses based on complex theory. The development and application of Bayesian approaches to SEM has, however, been relatively slow but with modern technology and the Gibbs sampler, is now possible. Th...

Journal: :BMC Medical Research Methodology 2003
Jeremy Miles

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 out, because the software available lacks sufficient flexibility. Satorra and Saris developed a method for estimating the power of the likelihoo...

Journal: :CAIS 2012
Joerg Evermann Mary Tate

Structural equation models (SEM) are frequently used in Information Systems (IS) to analyze and test theoretical propositions. As IS researchers frequently reuse measurement instruments and adapt or extend theories, it is not uncommon for a researcher to re-estimate regression relationships in their SEM that have been examined in previous studies. We advocate the use of Bayesian estimation of s...

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