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Development and Validation of the Programming Anxiety Scale
Open accessAbstract
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey. Exploratory and confirmatory factor analysis was conducted on the draft scale. According to analysis results, the Programing Anxiety Scale comprised of two factors and 14 items. In addition, factor loadings for the 14-item scale range from .633 to .918. Internal factor reliability for the whole scale and the subscales was estimated as Cronbach's alpha values of .95, .90, and .94, respectively. In the light of these results, the Programming Anxiety Scale is an appropriate and dependable tool.
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“It has shown high internal consistency (Cronbach's alpha = 0.901) and good construct validity as evidenced by significant correlations with related constructs (Yildirim & Ozdener, 2022).”
From The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches (2025) · cites this paper as Yildirim & Ozdener, 2022
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Metadata
- Authors
- YILDIRIM, O. G., & OZDENER, N.
- Venue
- International Journal of Computer Science Education in Schools
- Publisher
- ICT in Practice
- Published
- 2022-05-02
- Volume
- 5
- Issue
- 3
- Pages
- 17-34
- ISSN
- 2513-8359 (ISSN-L)
- OpenAlex
- W4225281101
- Cited by
- 18
- References
- 71
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 3 · 2023: 2
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Computer Science Education in Schools (publishedVersion, cc-by)
- Dspace Repository (Marmara Üniversitesi) (submittedVersion, other-oa)
- Funders
- Marmara Üniversitesi
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- scale development, psychometric validation, university students, computer science education, measurement instruments, factor structure
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