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The Scale of Online Course Anxiety: Assessing College Students' Anxiety in Online Courses.

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Title: The Scale of Online Course Anxiety: Assessing College Students' Anxiety in Online Courses.
Authors: Xinyang Li1, Lan, William1, Amanda, Williams1
Source: Online Learning. Dec2021, Vol. 25 Issue 4, p440-460. 21p.
Subject Terms: *Online education, *College students, *Anxiety, *Universities & colleges, Confirmatory factor analysis, Goodness-of-fit tests
Abstract: The purpose of this study was to develop an instrument to measure student online course anxiety, a factor that detrimentally affects student learning in the online environment. Based on Keegan's theoretical framework that identified fundamental differences between online education and traditional education, the instrument of Scale of Online Course Anxiety (SOCA) was developed and tested with a sample of 170 students from a 4-year higher educational institution. The total score and the four subscale scores show high reliability. Confirmatory Factor Analysis exhibited solid goodness of fit between SOCA items and the factor structure hypothesized in previous literature. Evidence of divergent validity shows SOCA differentiates the state anxiety and trait anxiety as expected. Limitations and possible topics for future research are also discussed. [ABSTRACT FROM AUTHOR]
Copyright of Online Learning is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Online+Learning%22">Online Learning</searchLink>. Dec2021, Vol. 25 Issue 4, p440-460. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br />*<searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br />*<searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br />*<searchLink fieldCode="DE" term="%22Universities+%26+colleges%22">Universities & colleges</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Goodness-of-fit+tests%22">Goodness-of-fit tests</searchLink>
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  Data: The purpose of this study was to develop an instrument to measure student online course anxiety, a factor that detrimentally affects student learning in the online environment. Based on Keegan's theoretical framework that identified fundamental differences between online education and traditional education, the instrument of Scale of Online Course Anxiety (SOCA) was developed and tested with a sample of 170 students from a 4-year higher educational institution. The total score and the four subscale scores show high reliability. Confirmatory Factor Analysis exhibited solid goodness of fit between SOCA items and the factor structure hypothesized in previous literature. Evidence of divergent validity shows SOCA differentiates the state anxiety and trait anxiety as expected. Limitations and possible topics for future research are also discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Online Learning is the property of Online Learning Consortium and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.24059/olj.v25i4.2505
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      – Code: eng
        Text: English
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      – SubjectFull: Online education
        Type: general
      – SubjectFull: College students
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Universities & colleges
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      – SubjectFull: Confirmatory factor analysis
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      – SubjectFull: Goodness-of-fit tests
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              M: 12
              Text: Dec2021
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              Y: 2021
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