Applicability of Machine Learning in the Measurement of Emotional Intelligence
Manish Sharma,
Shikha N. Khera (drshikhakhera@gmail.com) and
Pritam B. Sharma
Additional contact information
Manish Sharma: Delhi Technological University
Shikha N. Khera: Delhi Technological University
Pritam B. Sharma: Amity University
Annals of Data Science, 2019, vol. 6, issue 1, No 9, 179-187
Abstract:
Abstract The Trait Meta Mood Scale (TMMS) is one of the widely used instruments for measuring the emotional intelligence. This scale helps in ascertaining the overall emotional intelligence and can be used by organizations to handle the workforce and hence increase the efficiency and effectiveness by taking corrective measures, thereby transforming the organizations. If a large data set is available with some missing value, it becomes difficult to find the overall emotional intelligence of the given group and carry out the statistical analysis. This work proposes a model which applies neural network to find out the missing data and to perform regression. The model provides a flexible system to measure emotional intelligence. It paves a way for the application of machine learning in the TMMS scale of emotional intelligence but also in other scales of emotional intelligence.
Keywords: Trait Meta Mood Scale; Neural networks; Regression; Machine learning; Emotional intelligence (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:6:y:2019:i:1:d:10.1007_s40745-018-00185-1
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DOI: 10.1007/s40745-018-00185-1
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