IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/88psy2018.html
   My bibliography  Save this paper

Are Emotionally Intelligent People More Emotionally Stable? An Experience Sampling Study

Author

Listed:
  • Dmitry Lyusin

    (National Research University Higher School of Economics)

  • Abdul-Raheem Mohammed

    (National Research University Higher School of Economics)

Abstract

The temporal dynamic characteristics of mood play an important role in various aspects of our lives including our psychological health and well-being. It is assumed that the individuals with high emotional intelligence (EI) are characterized by more positive and stable moods. However, most studies analyze how EI is related to emotional traits or momentary assessments of mood; there are almost no findings on EI relationships with mood dynamics. The present study fills this gap. Two research questions were asked. How mood dynamics characteristics are related to each other and to what extent are they independent? Which aspects of EI are related to particular characteristics of mood dynamics? Method. To collect data on mood dynamics, an experience sampling procedure was implemented. Twenty-six female participants reported their mood for two weeks, three times a day, using the EmoS-18 questionnaire. Their emotional intelligence was measured with the EmIn questionnaire. Mean mood scores calculated across all measurement points were regarded as static characteristics showing a mood background typical for the participant. Also, three dynamic characteristics of mood were calculated, namely variability, instability, and inertia. Results. Mood variability and instability were found to be very closely related to each other, measuring essentially the same construct. Inertia is relatively independent. EI was not related to mean mood scores which contradicts the results of other studies and can be explained by the use of the experience sampling procedure. EI was positively related to the inertia of a positive mood with high arousal and a negative mood with low arousal. In addition, a negative relationship between EI and the instability of tension was found. Most of the correlations were low. Further studies with higher statistical power are needed for more decisive conclusions. However, the results show that experience sampling provides new important insights on the role of EI in mood

Suggested Citation

  • Dmitry Lyusin & Abdul-Raheem Mohammed, 2018. "Are Emotionally Intelligent People More Emotionally Stable? An Experience Sampling Study," HSE Working papers WP BRP 88/PSY/2018, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:88psy2018
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2018/01/26/1163252237/88PSY20178.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jawaad Ahmed & Farah Latif Naz & Wali Muhammad & Aziz Ul Nisa & Asad Ullah Khan, 2022. "The Role of Self-Efficacy in Emotional Intelligence and Career Adaptability Challenges among PhD Scholars," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 81-87, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arthur Grimes & Suzi Kerr & Andrew Aitken, 2003. "Housing and Economic Adjustment," Urban/Regional 0310006, University Library of Munich, Germany.
    2. Gábor Vadas, 2004. "Modelling Households’ Savings and Dwellings Investment – A Portfolio Choice Approach," International Real Estate Review, Global Social Science Institute, vol. 7(1), pages 31-55.
    3. Felix Schindler, 2014. "Persistence and Predictability in UK House Price Movements," The Journal of Real Estate Finance and Economics, Springer, vol. 48(1), pages 132-163, January.
    4. Catarina Figueira & John Glen & Joseph Nellis, 2005. "A Dynamic Analysis of Mortgage Arrears in the UK Housing Market," Urban/Regional 0509006, University Library of Munich, Germany.
    5. Tsai, I-Chun, 2019. "Relationships among regional housing markets: Evidence on adjustments of housing burden," Economic Modelling, Elsevier, vol. 78(C), pages 309-318.
    6. Gergely Kiss & Gábor Vadas, 2005. "The Role of the Housing Market in Monetary Transmission," MNB Background Studies (discontinued) 2005/3, Magyar Nemzeti Bank (Central Bank of Hungary).
    7. Arthur Grimes & Andrew Aitken, 2006. "Housing Supply and Price Adjustment," Working Papers 06_01, Motu Economic and Public Policy Research.
    8. Bruce Morley & Dennis Thomas, 2011. "Risk-return relationships and asymmetric adjustment in the UK housing market," Applied Financial Economics, Taylor & Francis Journals, vol. 21(10), pages 735-742.
    9. William Miles, 2015. "Bubbles, Busts and Breaks in UK Housing," International Real Estate Review, Global Social Science Institute, vol. 18(4), pages 455-471.
    10. Nikodem Szumilo & Edyta Laszkiewicz & Franz Fuerst, 2017. "The spatial impact of employment centres on housing markets," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 472-491, October.
    11. Arthur Grimes & Sean Hyland, 2013. "Housing Market Dynamics and the GFC: The Complex Dynamics of a Credit Shock," Working Papers 13_12, Motu Economic and Public Policy Research.
    12. Irene de Greef & Ralph de Haas, 2002. "Housing Prices, Bank Lending, and Monetary Policy," Macroeconomics 0209010, University Library of Munich, Germany.
    13. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
    14. Barot, Bharat & Yang, Zan, 2002. "House Prices and Housing Investment in Sweden and the United Kingdom: Econometric Analysis for the Period 1970-1998," Working Papers 80, National Institute of Economic Research.
    15. Arthur Grimes & Sean Hyland & Andrew Coleman & James Kerr & Alex Collier, 2013. "A New Zealand Regional Housing Model," Working Papers 13_02, Motu Economic and Public Policy Research.
    16. Arthur Grimes & Andrew Aitken, 2010. "Housing Supply, Land Costs and Price Adjustment," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 325-353, June.
    17. Anundsen, André K. & Jansen, Eilev S., 2013. "Self-reinforcing effects between housing prices and credit," Journal of Housing Economics, Elsevier, vol. 22(3), pages 192-212.
    18. Xin Janet Ge & Brendan Williams, 2015. "House Price Determinants in Sydney," ERES eres2015_230, European Real Estate Society (ERES).
    19. Catarina Figueira & John Glen & Joseph Nellis, 2005. "A Dynamic Analysis of Mortgage Arrears in the UK Housing Market," Urban Studies, Urban Studies Journal Limited, vol. 42(10), pages 1755-1769, September.
    20. Christian Hott, 2007. "Explaining house price fluctuations," Proceedings 1055, Federal Reserve Bank of Chicago.

    More about this item

    Keywords

    emotional intelligence; mood dynamics; mood variability; mood instability; mood inertia;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hig:wpaper:88psy2018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.