In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.

Brain-behavior associations in fMRI studies are typically restricted to a single level of analysis: either a circumscribed brain region-of-interest (ROI) or a larger network of brain regions. However, this common practice may not always account for the interdependencies among ROIs of the same network or potentially unique information at the ROI-level, respectively. To account for both sources o...

When applying structural equation modeling (SEM) technique for analytical procedures, various issues are involved. These issues may concern sample size, overall fit indices and approach. Initiates of SEM may find it somewhat daunting in resolving these technical issues. The purpose of this paper is to highlight key issues in adopting SEM technique and various approaches available. This paper pr...

This study examined pre-service teachers’ self-reported intention to use technology by employing the Theory of Planned Behavior (TPB) as the research framework. One hundred and fifty-seven participants completed a survey questionnaire measuring their responses to four constructs in the TPB. These were administered at the beginning of the course in which technology was taught and used. Structura...

This research models the relationship between self-efficacy, game purchase and usage. Four-hundred and ninety three consumers responded to a questionnaire. We deployed confirmatory factors analysis (CFA) and structural equation modeling (SEM) across 4 game types; original model (all games) and alternative models, Sports/Simulation/Driving, Role Playing Game/Massively Multiplayer Online RolePlay...

This study develops an original framework to explore the influence of excessive product packaging on green brand attachment and to discuss the mediation roles of green brand attitude and green brand image. Structural Equation Modeling (SEM) is applied to verify the research framework. The results from a dataset of 238 valid questionnaires show that excessive product packaging has no direct effe...

This article provides a brief introduction to the history and applications of the class of data analytic techniques collectively known as Structural Equation Modeling (SEM). Using an example based on psychological factors thought to affect the likelihood of stuttering, we discuss the issues of specification, identification, and model fit and modification in SEM. We also address points relating ...

As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from experimental studies using structural equation model...

Mark Urban-Lurain, Michigan State University Mark Urban-Lurain is the Director of Instructional Technology Research & Development in the Division of Science and Mathematics Education at Michigan State University. Dr. Urban-Lurain's research interests are in theories of cognition, their impact on instructional design and applying these to the use of instructional technology. He is also intereste...

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...