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...

In this paper, we combine modeling constructs from SysML and Modelica to improve the support for Model-Based Systems Engineering (MBSE). The Object Management Group has recently developed the Systems Modeling Language (OMG SysMLTM). This visual modeling language provides a comprehensive set of diagrams and constructs for modeling many common aspects of systems engineering problems, such as syst...

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...

This research investigated the impact the external environment, firm characteristics and firm strategy have on export performance. To this end, a survey was administered to 448 large Brazilian exporters of manufactured products. A structural equation modeling (SEM) approach was used to fit the conceptual model to empirical data. An extensive set of procedures for the validation of measurement m...

Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young childr...

The combination of programmatic theory and structural equation modeling (SEM) can act as the basic intellectual machinery for designing and evaluating behavioral interventions. As an example of the integration, we consider a case study of a randomized experiment to reduce sexual risk taking, the WINGS Project. Barriers to combining systematic use of SEM with programmatic theory for program impr...

Innovation is being view from four areas of innovation, product, service, technology, and marketing. Whereas customer loyalty is composed of customer expectation, perceived quality, perceived value, corporate image, customer satisfaction, customer trust/confidence, customer commitment, customer complaint, and customer loyalty. This study aimed to investigate the influence of innovation factors ...

To reduce a large number of variables to a smaller number of factors for modeling purposes, where the large number of variables precludes modeling all the measures individually. As such, factor analysis is integrated in structural equation modeling (SEM), helping confirm the latent variables modeled by SEM. However, factor analysis can be and is often used on a stand-alone basis for similar pur...

With the advancement of nanoscale semiconductor technology,semiconductor optical amplifiers are used to amplify and process all-optical signals. Inthis paper, with the aim of calculating the gain of quantum dot semiconductor opticalamplifier (QD-SOA), two groups of rate equations and the optical signal propagatingequation are used in the active layer of the device. For t...