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Original Article

Regulating Emotion Systems in Everyday Life

Reliability and Validity of the RESS-EMA Scale

Published Online:June 26, 2020https://doi.org/10.1027/1015-5759/a000595

Abstract

Abstract. Researchers are increasingly using ecological momentary assessment (EMA) to investigate how people regulate their emotions from moment-to-moment in daily life. However, existing self-report measures of emotion regulation have been designed and validated to assess habitual/trait use of emotion regulation strategies and may therefore not be suited to assessing momentary emotion regulation. The present study aimed to develop a brief, yet reliable, EMA measure of emotion regulation in daily life by adapting the Regulation of Emotion Systems Survey (RESS; DeFrance & Hollenstein, 2017), a recently developed global self-report questionnaire assessing habitual use of six emotion regulation strategies. We created an EMA version of the RESS by selecting 12 items from the original scale and adapting them for EMA. We investigated the psychometric properties of the new RESS-EMA scale by administering it eight times daily for 7 days via smartphones to a sample of undergraduates (n = 112). Results of multilevel modeling analyses supported the within- and between-person reliability and validity of the RESS-EMA scale and suggest that it is a viable way to comprehensively assess momentary emotion regulation strategy use in daily life.

References

  • Aldao, A. (2013). The future of emotion regulation research: Capturing context. Perspectives on Psychological Science, 8, 155–172. https://doi.org/10.1177/1745691612459518 First citation in articleCrossref, Google Scholar

  • Brans, K., Koval, P., Verduyn, P., Lim, Y. L., & Kuppens, P. (2013). The regulation of negative and positive affect in daily life. Emotion, 13, 926–939. https://doi.org/10.1037/A0032400 First citation in articleCrossref, Google Scholar

  • Brockman, R., Ciarrochi, J., Parker, P., & Kashdan, T. (2017). Emotion regulation strategies in daily life: Mindfulness, cognitive reappraisal and emotion suppression. Cognitive Behaviour Therapy, 46, 91–113. https://doi.org/10.1080/16506073.2016.1218926 First citation in articleCrossref, Google Scholar

  • Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396. https://doi.org/10.2307/2136404 First citation in articleCrossref, Google Scholar

  • Conner, T. S., & Lehman, B. J. (2012). Getting started: Launching a study in daily life. In M. R. MehlT. S. ConnerEds., Handbook of research methods for studying daily life (pp. 95–107). New York, NY: The Guilford Press. First citation in articleGoogle Scholar

  • DeFrance, K., & Hollenstein, T. (2017). Assessing emotion regulation repertoires: The regulation of emotion systems survey. Personality and Individual Differences, 119, 204–215. https://doi.org/10.1016/j.paid.2017.07.018 First citation in articleCrossref, Google Scholar

  • DeFrance, K., & Hollenstein, T. (2019). Emotion regulation and relations to well-being across the lifespan. Developmental Psychology, 55, 1768–1774. https://doi.org/10.1037/dev0000744 First citation in articleCrossref, Google Scholar

  • English, T., Lee, I. A., John, O. P., & Gross, J. J. (2017). Emotion regulation strategy selection in daily life: The role of social context and goals. Motivation and Emotion, 41(2), 230–242. First citation in articleCrossref, Google Scholar

  • Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19, 72. https://doi.org/10.1037/a0032138 First citation in articleCrossref, Google Scholar

  • Grommisch, G., Koval, P., Hinton, J. D. X., Gleeson, J., Hollenstein, T., Kuppens, P., & Lischetzke, T. (2019). Modeling individual differences in emotion regulation repertoire in daily life with multilevel latent profile analysis. Emotion. Advance online publication. https://doi.org/10.1037/emo0000669 First citation in articleCrossref, Google Scholar

  • Gross, J. J. (2015). Emotion regulation: Current status and future prospects. Psychological Inquiry, 26, 1–26. https://doi.org/10.1080/1047840X.2014.940781 First citation in articleCrossref, Google Scholar

  • Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85, 348–362. https://doi.org/10.1037/0022-3514.85.2.348 First citation in articleCrossref, Google Scholar

  • Haines, S., Gleeson, J., Kuppens, P., Hollenstein, T., Ciarrochi, J., Labuschagne, I., … Koval, P. (2016). The wisdom to know the difference: Strategy-situation fit in emotion regulation in daily life is associated with well-being. Psychological Science, 27, 1651–1659. https://doi.org/10.1177/095679761666908 First citation in articleCrossref, Google Scholar

  • Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Behaviour Research Methods. Advance online publication. https://doi.org/10.1080/00273171.2018.1446819 First citation in articleGoogle Scholar

  • Harrison, A., Harrison, S., Koval, P., Gleeson, J., & Alvarez, M. (2017). SEMA: Smartphone Ecological Momentary Assessment (Version 2) [Computer software]. Retrieved from https://github.com/eorygen First citation in articleGoogle Scholar

  • Heiy, J. E., & Cheavens, J. S. (2014). Back to basics: A naturalistic assessment of the experience and regulation of emotion. Emotion, 14, 878–891. https://doi.org/10.1037/a0037231 First citation in articleCrossref, Google Scholar

  • Hollenstein, T., & Lanteigne, D. (2014). Models and methods of emotional concordance. Biological Psychology, 98, 1–5. https://doi.org/10.1016/j.biopsycho.2013.12.012 First citation in articleCrossref, Google Scholar

  • Kashdan, T. B., & Steger, M. F. (2006). Expanding the topography of social anxiety: An experience-sampling assessment of positive emotions, positive events, and emotion suppression. Psychological Science, 17, 120–128. https://doi.org/10.1111/j.1467-9280.2006.01674.x First citation in articleCrossref, Google Scholar

  • Koole, S. L. (2009). The psychology of emotion regulation: An integrative review. Cognition & Emotion, 23, 4–41. https://doi.org/10.1080/02699930802619031 First citation in articleCrossref, Google Scholar

  • Lüdtke, O., Marsh, H. W., Robitzsch, A., Trautwein, U., Asparouhov, T., & Muthén, B. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13, 203–229. https://doi.org/10.1037/a0012869 First citation in articleCrossref, Google Scholar

  • McCabe, K. O., Mack, L., & Fleeson, W. (2011). A guide to data cleaning in experience-sampling studies. In M. R. MehlT. S. ConnerEds., Handbook of research methods for studying daily life (pp. 321–338). New York, NY: The Guilford Press. First citation in articleGoogle Scholar

  • McMahon, T. P., & Naragon-Gainey, K. (2019). The multilevel structure of daily emotion-regulation-strategy use: An examination of within-and between-person associations in naturalistic settings. Clinical Psychological Science, 7, 321–339. https://doi.org/10.1177/2167702618807408 First citation in articleCrossref, Google Scholar

  • Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén. First citation in articleGoogle Scholar

  • Nezlek, J. B., & Kuppens, P. (2008). Regulating positive and negative emotions in daily life. Journal of Personality, 76, 561–580. https://doi.org/10.1111/j.1467-6494.2008.00496.x First citation in articleCrossref, Google Scholar

  • Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and post- traumatic stress symptoms after a natural disaster: The 1989 Loma Prieta Earthquake. Journal of Personality and Social Psychology, 61, 115–121. https://doi.org/10.1037/0022-3514.61.1.115 First citation in articleCrossref, Google Scholar

  • Robinson, M. D., & Clore, G. L. (2002). Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychological Bulletin, 128(6), 934–960. https://doi.org/10.1037/0033-2909.128.6.934 First citation in articleCrossref, Google Scholar

  • Rosenberg, M. (1979). Conceiving the self. New York, NY: Basic Books. First citation in articleGoogle Scholar

  • Schuurman, N., & Hamaker, E. L. (2019). Measurement error and person-specific reliability in multilevel autoregressive models. Psychological Methods, 24, 70–91. https://doi.org/10.1037/met0000188 First citation in articleCrossref, Google Scholar

  • Schwartz, J. E., Neale, J., Marco, C., Shiffman, S. S., & Stone, A. A. (1999). Does trait coping exist? A momentary assessment approach to the evaluation of traits. Journal of Personality and Social Psychology, 77, 360–369. https://doi.org/10.1037/0022-3514.77.2.360 First citation in articleCrossref, Google Scholar

  • Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113, 117–143. https://doi.org/10.1037/pspp0000096 First citation in articleCrossref, Google Scholar

  • Trull, T. J., & Ebner-Priemer, U. (2014). The role of ambulatory assessment in psychological science. Current Directions in Psychological Science, 23, 466–470. https://doi.org/10.1177/0963721414550706 First citation in articleCrossref, Google Scholar

  • Van Berkel, N., Ferreira, D., & Kostakos, V. (2017). The experience sampling method on mobile devices. ACM Computing Surveys, 50, 1–40. https://doi.org/10.1145/3123988 First citation in articleCrossref, Google Scholar

  • van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & Aken, M. A. G. (2014). A gentle introduction to Bayesian analysis: Applications to developmental research. Child Development, 85, 842–860. https://doi.org/10.1111/cdev.12169 First citation in articleCrossref, Google Scholar

  • Watson, D., & Clark, L. A. (1994). The PANAS-X: Manual for the Positive and Negative Affect Schedule-Expanded Form. Ames, IA: The University of Iowa. First citation in articleGoogle Scholar

  • Weidman, A. C., Steckler, C. M., & Tracy, J. L. (2017). The Jingle and Jangle of emotion assessment: Imprecise measurement, casual scale usage, and conceptual fuzziness in emotion research. Emotion, 17, 267–295. https://doi.org/10.1037/emo0000226 First citation in articleCrossref, Google Scholar

  • Zyphur, M. J., & Oswald, F. L. (2015). Bayesian estimation and inference: A user’s guide. Journal of Management, 41, 390–420. https://doi.org/10.1177/0149206313501200 First citation in articleCrossref, Google Scholar