Science Motivation Questionnaire II: Validation with Science Majors and Nonscience Majors
Abstract
From the perspective of social cognitive theory, the motivation of students to learn science in college courses was examined. The students—367 science majors and 313 nonscience majors—responded to the Science Motivation Questionnaire II, which assessed five motivation components: intrinsic motivation, self‐determination, self‐efficacy, career motivation, and grade motivation. Exploratory and confirmatory factor analyses provided evidence of questionnaire construct validity. The motivation components, especially self‐efficacy, were related to the students' college science grade point averages. The science majors scored higher than the nonscience majors on all of the motivation components. Among both science majors and nonscience majors, men had higher self‐efficacy than women, and women had higher self‐determination than men. The findings suggest that the questionnaire is a valid and efficient tool for assessing components of students' motivation to learn science in college courses, and that the components play a role in students' science achievement. © 2011 Wiley Periodicals, Inc. J Res Sci Teach 48: 1159–1176, 2011
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Self-determination is an essential factor in human motivation that correlates with the other motivational factors measured in this study, especially intrinsic motivation.
“Self-determination is an essential factor in human motivation that correlates with the other motivational factors measured in this study [47], especially the sense of intrinsic motivation.”
From Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science (2021) · cites this paper as [47]
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Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00293-3 · Cited by 396 · see citing works
The Impact of AI Usage on University Students’ Willingness for Autonomous Learning
Wang, L., & Li, W. (2024) · Behavioral Sciences · doi:10.3390/bs14100956 · Cited by 94 · see citing works
Students as Designers of Augmented Reality: Impact on Learning and Motivation in Computer Science
Buchner, J., & Kerres, M. (2021) · Multimodal Technologies and Interaction · doi:10.3390/mti5080041 · Cited by 23 · see citing works
- Authors
- Glynn, S. M., Brickman, P., Armstrong, N., & Taasoobshirazi, G.
- Affiliations
- University of Georgia (US)
- University of Nevada, Las Vegas (US)
- Corresponding author
- Glynn, Shawn M.
- Venue
- Journal of Research in Science Teaching
- Publisher
- Wiley
- Published
- 2011-09-20
- Volume
- 48
- Issue
- 10
- Pages
- 1159-1176
- ISSN
- 0022-4308 (ISSN-L)
- 1098-2736
- OpenAlex
- W2136094206
- Cited by
- 733
- References
- 3
- Citations by year
- 2026: 66 · 2025: 68 · 2024: 67 · 2023: 73 · 2022: 79 · 2021: 59 · 2020: 67 · 2019: 45 · 2018: 57 · 2017: 47 · 2016: 36 · 2015: 27 · 2014: 26 · 2013: 8 · 2012: 7
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research in Science Teaching (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Social Sciences › Safety Research › Career Development and Diversity
- Social Sciences › Education › Science Education and Pedagogy
- Keywords
- Science Motivation Questionnaire II, science motivation, intrinsic motivation, self-determination, self-efficacy, career motivation, grade motivation, college science courses, science majors, non-science majors, gender differences, social cognitive theory, construct validity, science achievement
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