Selection of Photos and News Headlines Demonstrate How Valenced Emotion Motives Guide Emotion Regulation
Authors
School of Psychological Sciences, Victoria University of Wellington Wellington, New Zealand (New Zealand)
School of Psychological Sciences, Victoria University of Wellington Wellington, New Zealand (New Zealand)
Article Information
DOI: 10.47772/IJRISS.2026.100300454
Subject Category: Psychology
Volume/Issue: 10/3 | Page No: 6261-6270
Publication Timeline
Submitted: 2026-03-27
Accepted: 2026-04-02
Published: 2026-04-12
Abstract
The aim of this study was to determine whether valenced emotion motives assessed by the General Emotion Regulation Measure (GERM, Bloore et al., 2020) constrain stimulus selection behaviour. We hypothesised that pro-hedonic emotion motives would predict selection of positive stimuli, and contra-hedonic emotion motives would predict selection of negative stimuli. Self-reported GERM-based emotion motives were assessed, yielding continuous scores for trait-based assessments of pro-hedonic and contra-hedonic emotion motives. A sample of 199 university students (149 female, average age = 19.8 years) was asked to select 12 out of a total of 36 valenced descriptive labels (e.g., “cute puppy”) that briefly described corresponding images, and the same for news headlines (e.g., “147 people dead in massacre”). Stimuli were previously rated for valence, and each participant received an average valenced selection score based on which stimuli they chose. A latent variable moderation analysis found that pro-hedonic motives significantly and positively predicted selection of positive stimuli. And second, it showed that contra-hedonic motives significantly and positively predicted selection of negative stimuli, but only if the individual lacked pro-hedonic emotion motives. These findings suggest that valenced general emotion motives play a significant role in what Gross (1998a) described as ‘situation selection’ emotion regulation.
Keywords
Valence, motivation, situation selection, emotion regulation, pro-hedonic
Downloads
References
1. Arbuckle, J. L. (2019). Amos (Version 26.0) [Computer Program]. Chicago: IBM SPSS. [Google Scholar] [Crossref]
2. Bloore, R. A., Jose, P. E., & Roseman, I. J. (2020). General Emotion Regulation Measure (GERM): Individual differences in motives of trying to experience and trying to avoid experiencing positive and negative emotions. Personality and Individual Differences, 166, 110174. [Google Scholar] [Crossref]
3. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. [Google Scholar] [Crossref]
4. Gross, J. J. (1998a). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271–299. https://doi.org/10.1037/1089-2680.2.3.271 [Google Scholar] [Crossref]
5. Gross, J. J. (1998b). Antecedent- and response-focused emotion regulation: Divergent consequences for experience, expression, and physiology. Journal of Personality and Social Psychology, 74(1), 224–237. https://doi.org/10.1037/0022-3514.74.1.224 [Google Scholar] [Crossref]
6. Gross, J. J. (2015). Emotion regulation: Current status and future prospects. Psychological Inquiry, 26, 1-26. DOI: 10.1080/1047840X.2014.940781 [Google Scholar] [Crossref]
7. Hoyle, R. H. (Ed.) (2014). Handbook of structural equation modelling. New York: Guilford Press. [Google Scholar] [Crossref]
8. Jose, P. E., Bloore, B., Gamba, C., & Roseman, I. J. (2024). Do trait-assessed valenced emotion motives predict valenced affective states in the daily lives of university students? Motivation and Emotion, 48, 321-335. https://doi.org/10.1007/s11031-024-10075-0 [Google Scholar] [Crossref]
9. Jose, P. E., Bloore, B., Gamba, C., & Roseman, I. J. (2025). Test of the role of emotion motives in the Extended Process Model of Emotion Regulation. Manuscript submitted for publication. [Google Scholar] [Crossref]
10. Kurdi, B., Lozano, S., & Banaji, M. R. (2017). Introducing the Open Affective Standardized Image Set (OASIS). Behavior Research Methods, 49(2), 457–470. https://doi.org/10.3758/s13428-016-0715-3 [Google Scholar] [Crossref]
11. Little, T. L., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 151-173. DOI: 10.1207/S15328007SEM0902_1 [Google Scholar] [Crossref]
12. Livingstone, K. M., & Isaacowitz, D. M. (2015). Situation selection and modification for emotion regulation in younger and older adults. Social Psychological and Personality Science, 6(8), 904–910. https://doi.org/10.1177/1948550615593148 [Google Scholar] [Crossref]
13. Millgram, Y., Huppert, J. D., & Tamir, M. (2020). Emotion goals in psychopathology: A new perspective on dysfunctional emotion regulation. Current Directions in Psychological Science, 29(3), 242–247. https://doi.org/10.1177/0963721420917713 [Google Scholar] [Crossref]
14. Regorz, A. (2022). SEM R lavaan: Latent interactions (moderation) with double mean centering. Web-page downloaded from YouTube on 23/11/24: https://www.youtube.com/watch?v=gAV2fmHrPPw [Google Scholar] [Crossref]
15. Roseman, I. J. (2011). Emotional behaviors, emotivational goals, emotion strategies: Multiple levels of organization integrate variable and consistent responses. Emotion Review, 3(4), 434-443. https://doi.org/10.1177/1754073911410744 [Google Scholar] [Crossref]
16. Roseman, I. J., Spindel, M. S., & Jose, P. E. (1990). Appraisals of emotion-eliciting events: Testing a theory of discrete emotions. Journal of Personality and Social Psychology, 59(5), 899–915. https://doi.org/10.1037/0022-3514.59.5.899 [Google Scholar] [Crossref]
17. Tamir, M. (2016). Why do people regulate their emotions? A taxonomy of motives in emotion regulation. Personality and Social Psychology Review, 20(3), 199-122. DOI: 10.1177/1088868315586325 [Google Scholar] [Crossref]
18. Tamir, M., Vishkin, A., & Gutentag, T. (2020). Emotion regulation is motivated. Emotion, 20(1), 115–119. https://doi.org/10.1037/emo0000635 [Google Scholar] [Crossref]
19. Thompson, R. A. (1998). Emotional competence and the development of self. Psychological Inquiry, 9(4), 308-309. https://doi.org/10.1207/s15327965pli0904_14 [Google Scholar] [Crossref]
20. Vujović, L., & Urry, H. L. (2018). Emotion regulation compensation following situation selection failure. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-23654-2 [Google Scholar] [Crossref]
21. Walle, E. A., & Dukes, D. (2023). We (still!) need to talk about valence: Contemporary issues and recommendations for affective science. Affective Science, 4(3), 463-469. DOI: 10.1007/s42761-023-00217-x [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- A Comparative Study of Adjustment Level, Parental Income and Academic Achievement of Adolescent Girls
- Increase in STIs among Adolescents in Masvingo District
- A Correlation between SDG 4 (Quality Education) and Emotional Disposition of Teacher Educators in Hyderabad District
- Ear Piercing Behaviour and Self-Esteem among Male University Students in Nigeria
- A Study of Religiosity and Psychological Well-Being