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Physical Sciences and Mathematics Commons™
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- Keyword
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- Argonne Model for Universal Solvent Extraction (AMUSE); Computer programming; Radioactive wastes – Purification; Reactor fuel reprocessing; Separation (Technology); Software engineering; System analysis; Systems engineering; Transmutation (Chemistry) (1)
- Computer literacy (1)
- Methodology (1)
- Research (1)
- Self-efficacy (1)
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Inside Unlv, Shane Bevell, Tony Allen, Karen Sharp, Mamie Peers, Cate Weeks
Inside Unlv, Shane Bevell, Tony Allen, Karen Sharp, Mamie Peers, Cate Weeks
Inside UNLV
No abstract provided.
Development Of Integrated Process Simulation System Model For Spent Fuel Treatment Facility Design, Yitung Chen, Sean Hsieh
Development Of Integrated Process Simulation System Model For Spent Fuel Treatment Facility Design, Yitung Chen, Sean Hsieh
Separations Campaign (TRP)
The major objectives will lead to the creation of a framework that combines all the strengths of AMUSE’s complicated calculations, well-established commercial system process package, and ISOPro’s flexible parameter optimization modules. Development of the process simulation code can be done using the solvent extraction process at Argonne National Laboratory in collaboration with the research team from the Mechanical Engineering Department at UNLV.
Research accomplishments:
• Completed final version of the ISOPro User Manual associated with summarized ISOPro source codes.
• Redesigned and completed use case and design class diagrams (DCD) of the ISOPro package using ArgoUML.
• Improved ISOPro system …
Formative Versus Reflective Measurement: Comment On Marakas, Johnson, And Clay (2007), Andrew M. Hardin, Jerry Cha-Jan Chang, Mark A. Fuller
Formative Versus Reflective Measurement: Comment On Marakas, Johnson, And Clay (2007), Andrew M. Hardin, Jerry Cha-Jan Chang, Mark A. Fuller
Management, Entrepreneurship and Technology Faculty Publications
In a recent issue of the Journal of the Association for Information Systems, Marakas, Johnson, and Clay (2007) presented an interesting and important discussion on formative versus reflective measurement, specifically related to the measurement of the computer self-efficacy (CSE) construct. However, we believe their recommendation to measure CSE constructs using formative indicators merits additional dialogue before being adopted by researchers. In the current study we discuss why the substantive theory underlying the CSE construct suggests that it is best measured using reflective indicators. We then provide empirical evidence demonstrating how the misspecification of existing CSE measures as formative can result …