IJ Psychiatry and Behavioral Sciences
IJPBS is the Official Journal of Mazandaran University of Medical Sciences
Image Credit:Iran J Psychiatry Behav Sci
Outline
The Relationship Between Procrastination, Learning Strategies and Statistics Anxiety Among Iranian College Students: A Canonical Correlation Analysis
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Abstract
Objective: Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables.
Methods: A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed.
Results: Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety.
Conclusion: These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction.
Declaration of interest: None.
Citation: The relationship between procrastination, learning strategies and statistics anxiety among Iranian college students: A canonical correlation analysis. Vahedi Sh, Farrokhi F, Gahramani F, Issazadegan A. Iran J Psychiatry Behave Sci 2012; 6(1):41-8.
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Copyright
© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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