scholarly journals A confirmatory composite analysis for the Italian validation of the interactions anxiousness scale: a higher-order version

2021 ◽  
Author(s):  
Enrico Ciavolino ◽  
Lucrezia Ferrante ◽  
Giovanna Alessia Sternativo ◽  
Jun-Hwa Cheah ◽  
Simone Rollo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Factor Structure ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Composite Analysis ◽  
Scale Scores ◽  
Alternative Measurement ◽  
Italian Adolescents

AbstractThis study examined the factor structure and model specifications of the Interaction Anxiousness Scale (IAS) with confirmatory composite analysis (CCA) using partial least squares-structural equation modeling (PLS-SEM) with a sample of Italian adolescents ($$n = 764$$ n = 764 ). The CCA and PLS-SEM results identified the reflective nature of the IAS sub-scale scores, supporting an alternative measurement model of the IAS scores as a second-order reflective–reflective model.

scholarly journals Structural Equation Modeling: Theory and Applications in Forest Management

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Tzeng Yih Lam ◽  
Douglas A. Maguire
Keyword(s):  
Structural Equation Modeling ◽  
Forest Management ◽  
Measurement Errors ◽  
Structural Equation ◽  
Light Attenuation ◽  
Measurement Model ◽  
Ecosystem Dynamics ◽  
Path Model ◽  
Management Tool ◽  
Equation Modeling

Forest ecosystem dynamics are driven by a complex array of simultaneous cause-and-effect relationships. Understanding this complex web requires specialized analytical techniques such as Structural Equation Modeling (SEM). The SEM framework and implementation steps are outlined in this study, and we then demonstrate the technique by application to overstory-understory relationships in mature Douglas-fir forests in the northwestern USA. A SEM model was formulated with (1) a path model representing the effects of successively higher layers of vegetation on late-seral herbs through processes such as light attenuation and (2) a measurement model accounting for measurement errors. The fitted SEM model suggested a direct negative effect of light attenuation on late-seral herbs cover but a direct positive effect of northern aspect. Moreover, many processes have indirect effects mediated through midstory vegetation. SEM is recommended as a forest management tool for designing silvicultural treatments and systems for attaining complex arrays of management objectives.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

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