Submitted:
05 September 2025
Posted:
05 September 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
“Community Voices” as Normative Social Media
- Social norms: Descriptive norms are perception of what others are currently doing. Prescriptive norms are perceptions of what others should be doing. Norm awareness is the degree to which an individual perceives that they understand a particular norm.
- Psychological distance of climate change: This metric assesses perceived separation between an individual and climate change. It encompasses four dimensions of psychological distance—temporal, spatial, social, and hypothetical—related to climate change (Spence et al. 2012). Van Lange et al. (2021) have argued that reducing the psychological distance of climate change is an important strategy for motivating climate action; intuitively this makes sense. However, while some studies (e.g. Loy & Spence, 2020; Singh et al., 2017) have found support for this hypothesis, others (Brügger et al., 2015; van Valkengoed, 2024; Wang et al., 2019) have found mixed results.
- Environmental Cognitive Alternatives Scale (ECAS): This scale measures an individual’s ability to imagine a more harmonious and sustainable relationship between humans and nature (Wright 2020). The scale is grounded in social identity theory, which argues that people are more likely to work for social change if they can imagine a more positive future. Recent research supports the idea that increases in a positive vision for the future lead to more willingness to act (Lutz et al., 2025).
- Positive and negative emotions related to climate change and action: Prior research suggests that emotional reactions to climate change, and their impact on behavior, are complex. While positive emotions have been linked to increases in climate action, there is no “one size fits all” approach to increasing positive emotions through climate messaging (Schneider et al., 2021). Qualitative evidence suggests that exposure to role models engaged in climate action can increase positive emotions (Cherry, 2021). Negative emotional reactions to climate change abound, and a growing literature documents the negative impacts of climate anxiety (e.g. Clayton, 2020). The general consensus on negative emotions among communications experts is that they are not effective in reliably encouraging engagement on climate change (O’Neill & Nicholson-Cole, 2009; Shome et al., 2009). However, some research has found negative emotions do contribute to constructive responses (e.g. Myers & Maibach, 2023; Ogunbode et al., 2022; Wong-Parodi & Feygina, 2021).
- Collective Efficacy: The belief that behavior can be undertaken that will have a desired impact is thought to be a key determinant of action (Ajzen, 1991). Because climate change is a problem that must be solved collectively, we focused on assessing collective efficacy - an individual's sense that, as a group, people can address climate change. Mitigation efficacy is the perception that the extent of climate change can be reduced. Adaptation efficacy is the perception that the negative impacts of climate change can be reduced. In this study Policy support: Behavioral action is very challenging to directly measure in a survey. Support for climate action policies is an important attitudinal outcome that has implications for voting behavior and the willingness of elected officials to support policy.
Hypotheses
- Exposure to climate action-focused CV content
- a. Exposure to climate-focused CV content will increase norms related to climate action. We expect this to be the most direct and highest magnitude impact with the simple rationale that seeing others engage in climate action should increase viewers' sense that others are, indeed, engaging in climate action. CV content included in the study included messages related to both prescriptive and descriptive norms. However, since participants would be observing the thoughts and actions of others in this study, we hypothesized a larger impact on descriptive than on prescriptive norms.
- b. Exposure will: decrease participant’s psychological distance related to climate change; increase ECAS; and increase behavioral efficacy related to climate action. The rationale for these hypotheses is that seeing others engage in climate action should: make climate change feel more immediate and less distant; provide examples that help viewers envision a positive future; and give the viewer specific and salient ideas of climate behaviors they themselves might engage in.
- c. Exposure will have counteracting impacts on emotions. Confronting climate change induces anxiety and fear and may therefore increase negative emotions and decrease positive emotions, even when participants are exposed to positive actions that address climate change. On the other hand, seeing people taking positive action could logically enhance hope and efficacy and thereby increase positive emotions and decrease negative emotions.
- d. Exposure will increase support for climate policy. Support for policy should be influenced by norms, psychological distance, and efficacy; if these go up as expected, then policy support should follow.
- Exposure to pro-social CV content
- a. Similar to exposure to climate-focused content, we also expected that exposure to pro-social CV content that does not relate to climate change would increase norms related to climate action. Our rationale for this expectation is that although pro-social content does not directly relate to climate change, simply seeing others engaged in a wide range of different kinds of pro-social thought and action in their communities should increase the sense that others are engaging in additional positive thought and action, including climate action.
- b. We likewise expect exposure to pro-social content to increase ECAS, and increase behavioral efficacy related to climate action. Our rationale for this expectation follows from our expectation that norms will spill over to include climate action; simply seeing others engaged in a variety of pro-social actions in their communities should still: increase the sense that social problems (including climate change) can be solved; provide examples that help viewers envision a positive future (including improved human relations with nature); and enhance the viewers perception that challenges (including climate change) can be addressed through behavioral choices that the viewer might engage in.
- c. Pro-social CV content that is unrelated to climate action should have no appreciable impact on participant’s psychological distance related to climate change.
- d. Impacts on climate norms, psychological distance, ECAS and climate action efficacy should all be weaker for pro-social CV content than for climate-focused CV content because the pro-social content does not directly address climate. Concrete examples of positive climate action should be more impactful on all of these than non-climate focused pro-social content because of their direct rather than indirect nature.
- e. Exposure to pro-social CV content will decrease negative emotions related to climate change and increase positive emotions. We expect this because seeing pro-social thought and action related to a range of social issues should elicit a positive emotional response to a broad set of social issues, including climate change.
- f. Exposure should increase support for climate policy. Support for policy should be influenced by norms, distance and efficacy; if these increase as expected, then policy support should follow.
- Exposure to regionally derived CV content
- a. CV content will elicit a greater response from the regional NE Ohio population sample than from the national sample. Specifically, relative to the national sample, we expected the NE Ohio sample to exhibit increased norms, decreased psychological distance, increased ECAS, increased behavioral efficacy, and increased policy support. The rationale for these regional-impact hypotheses is that we anticipate that NE Ohio residents will identify more strongly with regional content represented in the CV slides in terms of racial, occupational, and place-based identity.
- b. We considered alternative hypotheses with respect to the emotional impact of exposure to regional climate-action CV content. For example, decreased psychological distance could both enhance the salience and concomitant anxiety associated with the reality of climate change. On the other hand, seeing people in one’s region take action could increase hope and optimism that the problem can be solved.
2. Materials and Methods
2.1. The Northeast Ohio Climate Action Community Voices Project
- Depicts examples of climate concern and action
- Depicts a diversity of messengers that include a range of political affiliations, race and ethnicity, occupation, age, and urban vs. rural locality
- Emphasizes concern for future generations
- Expresses hope
- Expresses urgency
- Emphasizes: economic feasibility or gain of actions taken, equity and justice, civic engagement and/or health
2.2. Participants
2.3. Procedure
2.4. Measures
3. Results
Evaluating the Impact of Community Voices
Evaluating the Impact of Regional Content

4. Discussion
Differences in Response Between NE Ohio Sample and National Sample
5. Conclusions
Conflicts of Interest Statement
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
References
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Leiserowitz, A.; Maibach, E.; Kotcher, J.; Marlon, J.; Climate Change in the American Mind: Beliefs; Attitudes, Fall 2024 [Report]. Yale University and George Mason University. Available online: https://climatecommunication.gmu.edu/wp-content/uploads/2025/01/climate-change-american-mind-politics-policy-fall-2024.pdf (accessed on 1 September 2025).
- Marlon, J.; Goddard, E.; Howe, P.; Mildenberger, M.; Jefferson, M.; Carman, J.; Rosenthal, S.; Fine, E.; Gillreath-Brown, A.; Leiserowitz, A.; Yale climate opinion maps 2024 [Map]. Yale Program on Climate Change Communication. Available online: https://climatecommunication.yale.edu/visualizations-data/ycom-us/ (accessed on 9 April 2025).
- Ipsos. Global Commons Survey 2024. Earth4All, 2024.
- Cialdini, R. B. Influence, New and Expanded: The Psychology of Persuasion; Harper Business: New York, NY, USA, 2021. [Google Scholar]
- Sparkman, G.; Geiger, N.; Weber, E. U. Americans experience a false social reality by underestimating popular climate policy support by nearly half. Nat. Commun. 2022, 13, 4779. [Google Scholar] [CrossRef] [PubMed]
- Katz, D.; Allport, F. H. Students’ Attitudes: A Report of the Syracuse University Reaction Study; Craftsman Press: Syracuse, NY, USA, 1931. [Google Scholar]
- Kelsen, K. Unleashing the Power of Digital Signage: Content Strategies for the 5th Screen; Taylor & Francis: Burlington, MA, USA, 2010. [Google Scholar]
- Prentice, D. A.; Miller, D. T. Pluralistic ignorance and the perpetuation of social norms by unwitting actors. J. Pers. Soc. Psychol. 1993, 64, 243–256. [Google Scholar] [CrossRef]
- Gifford, R. The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. Am. Psychol. 2011, 66, 290–302. [Google Scholar] [CrossRef] [PubMed]
- Bandura, A. Toward a psychology of human agency. Perspect. Psychol. Sci. 2006, 1, 164–180. [Google Scholar] [CrossRef] [PubMed]
- Constantino, S. M. , Sparkman, G., Kraft-Todd, G. T., Bicchieri, C., Centola, D., Shell-Duncan, B., Vogt, S., & Weber, E. U. Scaling Up Change: A Critical Review and Practical Guide to Harnessing Social Norms for Climate Action. Psychol. Sci. in the Public Interest. [CrossRef]
- Frantz, C. M. To create serious movement on climate change, we must dispel the myth of indifference. Nat. Commun. 2022, 13, 4780. [Google Scholar] [CrossRef]
- Goldstein, N. J.; Cialdini, R. B.; Griskevicius, V. A room with a viewpoint: Using social norms to motivate environmental conservation in hotels. J. Consum. Res. 2008, 35, 472–482. [Google Scholar] [CrossRef]
- Nolan, J. M.; Schultz, P. W.; Cialdini, R. B.; Goldstein, N. J.; Griskevicius, V. Normative social influence is underdetected. Pers. Soc. Psychol. Bull. 2008, 34, 913–923. [Google Scholar] [CrossRef]
- Petersen, J. E.; Frantz, C. M. Changing culture through pro-environmental messaging delivered on digital signs: A longitudinal field study. Sustainability 2024, 16, 7312. [Google Scholar] [CrossRef]
- Frantz, C. M.; Petersen, J.; Lucaites, K. Novel approach to delivering pro-environmental messages significantly shifts norms and motivation, but children are not more effective spokespeople than adults. PLoS ONE 2021, 16, e0255457. [Google Scholar] [CrossRef]
- Petersen, J. E.; Frantz, C. M.; Shammin, M. Using sociotechnical feedback to engage, educate, motivate, and empower environmental thought and action. Solutions 2014, 5, 79–87. [Google Scholar]
- Spence, A.; Poortinga, W.; Pidgeon, N. The psychological distance of climate change. Risk Anal. 2012, 32, 957–972. [Google Scholar] [CrossRef]
- Van Lange, P. A. M.; Huckelba, A. L. Psychological distance: How to make climate change less abstract and closer to the self. Curr. Opin. Psychol. 2021, 42, 49–53. [Google Scholar] [CrossRef]
- Van Valkengoed, A. M.; Steg, L.; Perlaviciute, G. The psychological distance of climate change is overestimated. One Earth 2023, 6, 362–391. [Google Scholar] [CrossRef]
- Loy, L. S.; Spence, A. Reducing, and bridging, the psychological distance of climate change. J. Environ. Psychol. 2020, 67, 101388. [Google Scholar] [CrossRef]
- Singh, A. S.; Zwickle, A.; Bruskotter, J. T.; Wilson, R. The perceived psychological distance of climate change impacts and its influence on support for adaptation policy. Environ. Sci. Policy 2017, 73, 93–99. [Google Scholar] [CrossRef]
- Brügger, A.; Dessai, S. X. R.; Devine-Wright, P.; et al. Psychological responses to the proximity of climate change. Nat. Clim. Chang. 2015, 5, 1031–1037. [Google Scholar] [CrossRef]
- Wang, S.; Hurlstone, M. J.; Leviston, Z.; Walker, I.; Lawrence, C. Climate change from a distance: An analysis of construal level and psychological distance from climate change. Front. Psychol. 2019, 10, 438569. [Google Scholar] [CrossRef]
- Wright, J. D.; Schmitt, M. T.; Mackay, C. M. L.; Neufeld, S. D. Imagining a sustainable world: Measuring cognitive alternatives to the environmental status quo. J. Environ. Psychol. 2020, 72, 101523. [Google Scholar] [CrossRef]
- Lutz, A. E.; Schmitt, M. T., Mackay, C. M. L., Eds.; Wright, J. D. Experimentally elevating environmental cognitive alternatives: Effects on activist identification, willingness to act, and opposition to new fossil fuel projects. J. Environ. Psychol. 2025, ? 102516. [Google Scholar] [CrossRef]
- Schneider, C. R.; Zaval, L.; Markowitz, E. M. Positive emotions and climate change. Curr. Opin. Behav. Sci. 2021, 42, 114–120. [Google Scholar] [CrossRef]
- Cherry, L. The power of positive role models: Youth climate activism in films. J. Environ. Stud. Sci. 2021, 11, 212–216. [Google Scholar] [CrossRef]
- Clayton, S. Climate anxiety: Psychological responses to climate change. J. Anxiety Disord. 2020, 74, 102263. [Google Scholar] [CrossRef] [PubMed]
- O’Neill, S.; Nicholson-Cole, S. “Fear won’t do it”: Promoting positive engagement with climate change through visual and iconic representations. Sci. Commun. 2009, 30, 355–379. [Google Scholar] [CrossRef]
- Shome, D.; Marx, S.; Appelt, K.; Arora, P.; Balstad, R.; Broad, K.; Freedman, A.; Handgraaf, et al. Americans experience a false social reality by underestimating popular climate policy support by nearly half. Nat. Commun. 2022, 13, 4779. [Google Scholar] [CrossRef]
- Myers, T. A.; Maibach, E. Emotional responses to climate change information and their effects on policy support. Front. Clim. 2023, 5, 1135450. [Google Scholar] [CrossRef]
- Ogunbode, C. A.; Doran, R.; Hanss, D.; Ojala, M.; Salmela-Aro, K.; van den Broek, K. L.; Bhullar, N.; Aquino, S. D.; Marot, T.; Schermer, J. A.; Wlodarczyk, A.; Lu, S.; Jiang, F.; Maran, D. A.; Yadav, R.; Ardi, R.; Chegeni, R.; Ghanbarian, E.; Zand, S.; … Karasu, M. Climate anxiety, wellbeing and pro-environmental action: Correlates of negative emotional responses to climate change in 32 countries. J. Environ. Psychol. 2022, 84, Article–101887. [Google Scholar] [CrossRef]
- Wong-Parodi, G.; Feygina, I. Engaging people on climate change: The role of emotional responses. Environ. Commun. 2021, 15, 571–593. [Google Scholar] [CrossRef]
- Ohio Secretary of State. Results by county [Excel file]. 2024 general election results, 2024. Available online: https://www.ohiosos.gov/globalassets/elections/2024/gen/official/statewide-race-summary.xlsx (accessed on 31 August 2025).
- Northeast Ohio Areawide Coordinating Agency. Cleveland-Elyria Metropolitan Statistical Area Priority Climate Action Plan. eNEO2050, 2024, March. Available online: https://www.epa.gov/system/files/documents/2024-02/cleveland-elyria-msa-pcap.pdf (accessed on 9 April 2025).
- City of Cleveland Mayor’s Office of Sustainability; Climate Justice. Draft Cleveland Climate Action Plan. City of Cleveland, 2024. Available online: https://www.clevelandohio.gov/city-hall/office-mayor/sustainability/cleveland-climate-action-plan (accessed on 9 April 2025).
- U.S. Census Bureau. RACE. Decennial Census, DEC Redistricting Data (PL 94-171), Table P1. Available online: https://data.census.gov/table/DECENNIALPL2020.P1?q=2020+decennial+P1 (accessed on 27 August 2025).
- U.S. Census Bureau. RACE. Decennial Census, DEC Demographic and Housing Characteristics, Table P8. Available online: https://data.census.gov/table/DECENNIALDHC2020.P8?q=2020+decennial+P8 (accessed on 27 August 2025).
- Hayes, A. F. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach, 3rd ed.; The Guilford Press: New York, NY, USA, 2022. [Google Scholar]
- Sherman, D. A. K.; Nelson, L. D.; Steele, C. M. Do messages about health risks threaten the self? Increasing the acceptance of threatening health messages via self-affirmation. Pers. Soc. Psychol. Bull. 2000, 26, 1046–1058. [Google Scholar] [CrossRef]
- Harris, P. R.; Napper, L. Self-affirmation and the biased processing of threatening health-risk information. Pers. Soc. Psychol. Bull. 2005, 31, 1250–1258. [Google Scholar] [CrossRef]
- Van Koningsbruggen, G. M.; Das, E.; Roskos-Ewoldsen, D. R. How self-affirmation reduces defensive processing of threatening health information: Evidence at the implicit level. Health Psychol. 2009, 28, 563–568. [Google Scholar] [CrossRef]
- Palm, R.; Bolson, T. Climate change and sea level rise in South Florida. Springer.
- Schoenefeld, J. J.; McCauley, M. R. Local is not always better: The impact of climate information on values, behavior and policy support. J. Environ. Stud. Sci. 2016, 6, 724–732. [Google Scholar] [CrossRef]
- Spence, A.; Pidgeon, N. Framing and communicating climate change: The effects of distance and outcome frame manipulations. Glob. Environ. Change 2010, 20, 656–667. [Google Scholar] [CrossRef]
- Lovins, L. H.; Wallis, S., Wijkman, A., Fullerton, J. A finer future: Creating an economy in service to life, Eds.; New Society Publishers: Gabriola Island, Canada, 2018. [Google Scholar]
- Rogers, R. W.; Prentice-Dunn, S. Protection motivation theory. In Handbook of Health Behavior Research I: Personal and Social Determinants, Gochman, D. S., Eds.; Plenum Press: New York, NY, USA, 1997; Volume 1, pp. 113–132. [Google Scholar]
- Kothe, E. J.; Ling, M.; North, M.; Klas, A.; Mullan, B. A.; Novoradovskaya, L. Protection motivation theory and pro-environmental behaviour: A systematic mapping review. Aust. J. Psychol. 2019, 71, 411–432. [Google Scholar] [CrossRef]

| Variable (N = 978) | Frequency | Percentage |
|---|---|---|
| Race | ||
| White Black or African American Asian Hispanic or Latino American Indian or Alaskan Native Middle Eastern/North African Other |
707 138 51 42 7 6 27 |
72.2 14.1 5.2 4.3 0.7 0.6 2.8 |
| Income Level | ||
| Less than $34,999 $35,000 - $74,999 $75,000 - $149,999 Greater than $150,000 |
214 334 299 131 |
21.9 34.2 30.5 13.4 |
| Education Level | ||
| Less than HS or HS Graduate or equivalent Technical school Some college 2-Yr College / Associate's degree 4-yr College / Bachelor's degree 1 or more secondary degree |
122 29 197 78 348 204 |
12.5 3.0 20.1 8.0 35.5 53.0 |
| Urban vs. Rural Locality | ||
| Urban Suburban Rural |
260 565 153 |
26.6 57.7 15.6 |
| Political Orientation | ||
| Liberal Somewhat liberal A little liberal Neither A little conservative Somewhat Conservative Conservative |
188 140 118 186 121 119 106 |
19.2 14.3 12.1 19.0 12.4 12.2 10.8 |
| Gender | Education Level |
Income Level |
Ethnicity | Political Orientation | Urban vs Rural Locality | |
|---|---|---|---|---|---|---|
| Climate Norm Awareness (Manipulation Check) | -0.055 | 0.049 | 0.097** | -0.080* | -0.026 | -0.044 |
| Descriptive Climate Norms | 0.013 | 0.180** | 0.118** | 0.002 | 0.053 | -0.150** |
| Prescriptive Climate Norms | 0.149* | 0.066* | 0.015 | 0.003 | -0.429** | -0.130** |
| Psychological Distance | -0.182** | 0.009 | 0.067* | -0.016 | 0.393** | 0.047 |
| Negative Emotions | -0.073* | 0.094** | 0.049 | 0.049 | 0.147** | -0.097** |
| Positive Emotions | 0.195** | -.033 | -0.088** | -0.037 | -0.431** | -0.073** |
| Policy Support | 0.124** | 0.070 | -0.041** | 0.060 | -0.510** | -0.169** |
| Mitigation Efficacy | 0.080* | 0.121** | 0.065 | 0.026 | -0.088** | -0.082* |
| Adaptation Efficacy | -0.049 | 0.109** | 0.118** | -0.026 | -0.045 | -0.065 |
| Exposure Group | No Exposure | Pro-social Exposure | Climate Action Exposure | Main Effect (M) | |||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SE | Mean | SE | Mean | SE | F | p | Eta sq | |
| Climate Norm Awareness (Manipulation Check) | 3.971A | 0.046 | 4.117A | 0.047 | 4.259B | 0.50 | 8.961 | <.001** | 0.020 |
| Descriptive Climate Norms | 3.136A | 0.045 | 3.323B | 0.046 | 3.438C | 0.049 | 10.632 | <.001** | 0.023 |
| Prescriptive Climate Norms | 4.297A | 0.042 | 4.485B | 0.043 | 4.418B | 0.046 | 5.023 | 0.007** | 0.011 |
| Psychological Dist. | 2.458A | 0.048 | 2.204B | 0.048 | 2.253B | 0.052 | 7.753 | <.001** | 0.017 |
| ECAS | 3.155A | 0.055 | 3.274A | 0.056 | 3.195A | 0.060 | 1.174 | 0.310 | 0.003 |
| Mitigation Efficacy | 2.571A | 0.046 | 2.689A | 0.046 | 2.606A | 0.049 | 1.278 | 0.178 | 0.004 |
| Adaptation Efficacy | 3.030A | 0.742 | 2.950A | 0.763 | 3.010A | 0.772 | 0.967 | 0.381 | 0.002 |
| Negative Emotions | 2.204A | 0.044 | 2.196A | 0.045 | 2.248A | 0.048 | 0.373 | 0.689 | 0.001 |
| Positive Emotions | 2.128A | 0.042 | 2.295B | 0.042 | 2.100A | 0.045 | 6.001 | 0.003** | 0.013 |
| Policy Support | 3.601A | 0.053 | 3.807B | 0.054 | 3.687AB | 0.057 | 3.763 | 0.024* | 0.008 |
| Exposure Group |
Sample | No Exposure | Pro-social Exposure | Climate Action Exposure | Exposure Group*Sample | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SE | Mean | SD | Mean | SD | F | p | Eta sq | ||
| Positive Emotions | National | 1.951a | 0.058 | 2.203b | 0.063 | 2.093b | 0.068 | 3.792 | 0.023* | 0.008 |
| NE Ohio | 2.305a | 0.060 | 2.386a | 0.056 | 2.107b | 0.060 | ||||
| ECAS | National | 3.069a | 0.076 | 3.277b | 0.084 | 3.348b | 0.090 | 4.012 | 0.014* | 0.010 |
| NE Ohio | 3.241a | 0.080 | 3.271a | 0.074 | 3.043b | 0.079 | ||||
| Dependent Variable = Climate change policy support | |||||
| Community Voices vs no Community Voices | Bootstrapped 95% CI | ||||
| Mediator | Effect of IV on mediator (SE) | Unique effect of mediator (SE) | Indirect Effect (SE) | Lower | Upper |
| Descriptive Norms | .243 (.056)*** | .060 (.030)* | .015 (.008) | 0.002 | 0.031 |
| Prescriptive Norms | .161 (.052)*** | .677 (.037)*** | .109 (.038) | 0.038 | 0.186 |
| Psychological Distance | -.222 (.059)*** | -.205 (.032)*** | .045 (.015) | 0.019 | 0.078 |
| Complete Model R2 = .594, F(8, 885) = 161.99, p < .001. Direct of IV b = .148, p = .024. | |||||
| Pro-social Community Voices vs no Community Voices | Bootstrapped 95% CI | ||||
| Mediator | Effect of IV on mediator (SE) | Unique effect of mediator (SE) | indirect effect (SE) | Lower | Upper |
| Descriptive Norms | .186 (.064)** | .059 (.037) | .011 (.007) | -0.001 | 0.027 |
| Prescriptive Norms | .196 (.060) *** | .648 (.045)*** | .127 (.040) | 0.049 | 0.207 |
| Psychological Distance | -.252 (.069)*** | -.213 (.038)*** | .054 (.019) | 0.021 | 0.093 |
| Complete Model R2 = .558, F(8, 615) = 97.21, p < .001. Direct of IV b = .211, p = .005. | |||||
| Climate change Community Voices vs no Community Voices | Bootstrapped 95% CI | ||||
| Mediator | Effect of IV on Mediator (SE) | Unique Effect of Mediator (SE) | Indirect Effect (SE) | Lower | Upper |
| Descriptive Norms | .312 (.067)*** | .072 (.037)* | .022 (.012) | 0.002 | 0.047 |
| Prescriptive Norms | .126 (.066)* | .711 (.045)*** | .090 (.048) | -0.005 | 0.184 |
| Psychological Distance | -.194 (.072)** | -.199 (.041)*** | .039 (.018) | 0.009 | 0.079 |
| Complete Model R2 = .637, F(8, 575) = 125.90, p < .001. Direct of IV b = .082 p = .316. | |||||
| Notes. * p < .06 **p < .01 ***p < .001. Analyses conducted with Hayes (2022) PROCESS Model 4. Analyses originally | |||||
| run using Model 3 with Sample included as a moderator, but Sample was not significant so we simplified the model. | |||||
| Bias-corrected CIs of each indirect effect are based on 5,000 resamples. | |||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).