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Applicability of Machine Learning in the Measurement of Emotional Intelligence

Author

Listed:
  • Manish Sharma

    (Delhi Technological University)

  • Shikha N. Khera

    (Delhi Technological University)

  • Pritam B. Sharma

    (Amity University)

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.

Suggested Citation

  • Manish Sharma & Shikha N. Khera & Pritam B. Sharma, 2019. "Applicability of Machine Learning in the Measurement of Emotional Intelligence," Annals of Data Science, Springer, vol. 6(1), pages 179-187, March.
    • Handle: RePEc:spr:aodasc:v:6:y:2019:i:1:d:10.1007_s40745-018-00185-1
    DOI: 10.1007/s40745-018-00185-1
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    Cited by:

    1. Rafaella L. S. Nascimento & Roberta A. de A. Fagundes & Renata M. C. R. Souza, 2022. "Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study," Annals of Data Science, Springer, vol. 9(4), pages 801-828, August.
    2. Poojan Thakkar & Manan Shah, 2021. "An Assessment of Football Through the Lens of Data Science," Annals of Data Science, Springer, vol. 8(4), pages 823-836, December.
    3. Prashant Singh & Prashant Verma & Nikhil Singh, 2022. "Offline Signature Verification: An Application of GLCM Features in Machine Learning," Annals of Data Science, Springer, vol. 9(6), pages 1309-1321, December.
    4. Manoj Verma & Harish Kumar Ghritlahre & Ghrithanchi Chandrakar, 2023. "Wind Speed Prediction of Central Region of Chhattisgarh (India) Using Artificial Neural Network and Multiple Linear Regression Technique: A Comparative Study," Annals of Data Science, Springer, vol. 10(4), pages 851-873, August.

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