Examining the Structural Validity of the CD-RISC Among Engineering Students
- Conference
- Location
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Virtual On line
- Publication Date
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June 22, 2020
- Start Date
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June 22, 2020
- End Date
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June 26, 2021
- Conference Session
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Instruments and Methods for Studying Student Experiences and Outcomes
- Tagged Division
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Educational Research and Methods
- Tagged Topic
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Diversity
- Page Count
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8
- DOI
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10.18260/1-2--34621
- Permanent URL
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https://peer.asee.org/34621
- Download Count
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336
Paper Authors
Adurangba Victor Oje University of Georgia
Oje Adurangba Victor is a graduate student at the University of Georgia, focusing on engineering education research. He is affiliated with the Engineering Education Transformation Institute and the School of Electrical and Computer Engineering at the university. His research interest spans across developing and validating concept inventories in fostering conceptual understanding, design-based principles in multimedia and virtual environments. His research work with the faculty includes the role of learning strategies and student engagement in fostering conceptual understanding, academic resiliency as a psychological tool for improving student learning and engagement. He is also interested in systematic reviews, meta-analysis and measurement inventories development.
Nathaniel Hunsu University of Georgia
Nathaniel Hunsu is an assistant professor of Engineering Education. He is affiliated with the Engineering Education Transformational Institute and the school of electrical and computer engineering at the university. His interest is at the nexus of the research of epistemologies, learning mechanics and assessment of learning in engineering education. His research focuses on learning for conceptual understanding, and the roles of learning strategies, epistemic cognition and student engagements in fostering conceptual understanding. His research also focuses on understanding how students interact with learning tasks and their learning environment. His expertise also includes systematic reviews and meta-analysis, quantitative research designs, measurement inventories development and validation.
Peter H. Carnell University of Georgia
Peter Carnell teaches and conducts research at the University of Georgia. He earned a PhD in Mechanical Engineering from Georgia Tech. He has been a licensed professional engineer for over 20 years and seeks ways to bring his work experience into the classroom. He has taught at the University of Georgia since 2014 and previously taught at Georgia Tech from 2006 to 2014. His teaching interests include teaching mechanics and design. He seeks to develop professional skills in the classroom to better prepare students for industry.
Abstract
This work in progress study examines the structural validation of the Connor-Davidson Resilience Scale (CD-RISC). Resilience, an ability to respond positively to challenging situations, is an important psychological attribute in responding to stressors. Students often encounter stressful situations that could influence their motivation to remain and succeed in an engineering degree. Developing and strengthening resiliency among engineering students is essential for their academic success in engineering. Participants included 150 undergraduate students enrolled in a foundational engineering course who completed an online survey of the resilience measure. A confirmatory factor analysis was performed to examine the structural validity evidence of the CD-RISC. Model fitness statistics based on CFI, TLI, RMSEA indicated that a five-factor model of the CD-RISC is acceptable. Convergent validity and discriminant evidence were examined using the AVE and MSV estimates. The analysis indicated some concerns with the validity evidence of the instrument. Implications of findings and future directions are discussed.
Oje, A. V., & Hunsu, N., & Carnell, P. H. (2020, June), Examining the Structural Validity of the CD-RISC Among Engineering Students Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34621
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