Assessing Self-Report Survey Scales of Discrete Emotions: A Systematic Review

dc.contributor.authorLevesque, Nicolas
dc.date.accessioned2020-09-18T17:11:24Z
dc.date.available2020-09-18T17:11:24Z
dc.date.issued2020-09
dc.description.abstractResearch in the field of emotion is characterized by inconsistencies in theory and in empirical measurement of data. This systematic review of the measurement tools we use to capture said data sheds light upon the areas that require more attention to detail. Discussion of the aspects of emotion that prevail regardless of theoretical approach provides a good starting point for the reform of aligning measurement to consistent and theoretically situated definitions of emotion. Results demonstrate that there is a lack of consensus regarding which emotions are considered discrete and a vacancy in terms of scale statistics.en_US
dc.format.availabilityFull-texten_US
dc.identifier.urihttps://hdl.handle.net/10587/2152
dc.language.isoenen_US
dc.publisherMount Saint Vincent Universityen_US
dc.subjectEmotion, discrete emotions, emotional measurementen_US
dc.titleAssessing Self-Report Survey Scales of Discrete Emotions: A Systematic Reviewen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
NicolasLevesqueMASPThesis2020.pdf
Size:
362.17 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.49 KB
Format:
Item-specific license agreed upon to submission
Description: