An important field of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is the investigation of effective connectivity, that is, the actions that a given set of regions exert on one another. We recently proposed a data-driven method based on the partial correlation matrix that could provide some insight regarding the pattern of functional interaction between brain...

The problem of equivalent models has plagued researchers since the earliest developmental stages of structural equation modeling (SEM; Marcoulides & Schumacker, 1996). Equivalent models are those that provide the same sets of statistical fit indexes (e.g., chi-square and p values) as a hypothesized model but may imply very different substantive interpretations of the data (Stelzl, 1986). As a c...

with rapid economic development and industrialization, the construction industry continues to rank among the most hazardous industries in the world. therefore, construction safety is always a significant concern for both practitioners and researchers. the objective of this study was to create a structural modeling of components that influence the safety performance in construction projects.we f...

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 ...

Empirical studies that use structural equation modeling (SEM) are widespread in information systems research. During the last few years, the component-based approach partial least squares (PLS) for testing structural models has become increasingly popular. At the same time, this approach’s limitations have become a greater concern. Some researchers even suggest using alternative approaches that...

Structural equation modeling (SEM) is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980, and its use is rapidly accelerating, partially due to the availability of improved software. The number of published studies, now known to be more than fifty, has approximately doubled in the past ...

Important attributes in many disciplines cannot be observed directly, and have to be measured by multiple indicators that are subject to errors. Structural equation modeling (SEM) has been a major tool for understanding the relationships between latent attributes and their observed indicators as well as those among latent attributes. This article provides a critical review of the statistical de...