Affective modelling of eustress and distress using psychological scales
This article is a case study that illustrates how a linear regression model can be implemented in eustress and distress analysis based on the correlation between emotion and stress and uses it to develop prediction equations of stress. This study proposes the use of five questionnaires; Perceived...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IIUM Press
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/111645/7/111645_Affective%20modelling%20of%20eustress%20and%20distress.pdf http://irep.iium.edu.my/111645/ https://journals.iium.edu.my/kict/index.php/IJPCC https://doi.org/10.31436/ijpcc.v10i1.434 |
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| Summary: | This article is a case study that illustrates how a linear regression model can be implemented in
eustress and distress analysis based on the correlation between emotion and stress and uses it to develop
prediction equations of stress. This study proposes the use of five questionnaires; Perceived Stress Scale 10,
Academic Eustress scale, Academic Distress scale, Bosse’s Distress Eustress scale and Adolescent Distress
Eustress scale to determine perceived stress, eustress or distress. A sixth questionnaire, the Self-Assessment
Manikin was used to determine emotional state in terms of valence and arousal, which are represented on
2-dimensional axis, where the x axis represents valence, and the y axis represents arousal. An analysis of the
relationship between the results of the stress questionnaires and results of SAM based valence and arousal
is carried out. Significant correlations are then used to derive regression equations used to predict eustress,
distress or perceived stress. The findings showed that neither valence nor arousal was correlated with
perceived stress, hence no regression equation was derived for it. However, valence and/or arousal were
correlated with the remaining five questionnaires. Finally, this article analyses the predictions comparing
actual vs predicted values. Error analysis showed that the ADES questionnaire had the lowest average error,
making it the most suitable in predicting eustress and distress from emotion. |
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