Valentina Lozano Nasi

103 collective transilience in the face of climate change Table 4.1. Descriptive Analyses, Reliability Coefficients, and Correlations between Measures included in Study 1 M SD α ωt 1 2 3 4 5 1. Collective transilience 5.61 0.80 .91 .92 2. Community-based adaptation intentions 4.17 1.95 .95 .95 .26*** 3. Community-based adaptation behaviours 0 a 1.30 .13 .38*** 4. Local policy support 5.38 1.03 .79 .85 .33*** .35*** .17* 5. Individual adaptation intentions 4.83 1.52 .88 .92 .24** .72*** .29*** .38*** 6. Individual adaptation behaviours 1.55 2.03 .32*** .02 .43*** .15* .09 Note. a = median; * p < .05, ** p < .01, *** p < .001; M = mean; SD = standard deviation; α = Cronbach’s alpha; ωt = McDonald’s omega 4.3. STUDY 2 Study 2 took place in the neighbourhood of Stadshagen in Zwolle (a city in the NorthEast of The Netherlands), where the community initiative SensHagen was established (https://senshagen-zwolle.opendata.arcgis.com). This initiative asks residents to install a sensor in their backyard to collect data on climate change consequences (precipitation, evaporation, heat, and wind). The municipality will use this data to map local climate risks and decide on adaptation policies and measures to reduce these risks. Joining the SensHagen initiative can be considered a proxy of community-based adaptation, as residents take an action (i.e., installing the sensors) that contributes indirectly to protecting their neighbourhood from the risks of climate change. We first examined whether participants perceive collective and individual transilience. Next, we tested whether collective transilience is positively associated with communitybased adaptation (H1), including a more positive evaluation of the SensHagen initiative (reflecting public support for the project, which is an indicator of behaviour, cf. Stern, 2000; Perlaviciute & Steg, 2014), a higher interest to join the initiative, a stronger intention to support the initiative (e.g., by motivating others to join the initiative), and more information seeking about the initiative. Furthermore, we tested whether higher transilience is associated with stronger community-based adaptation intentions not specifically related to SensHagen (e.g., using a neighbourhood app to warn neighbours about heatwaves and check on their safety). Again, we explored the relationship between collective transilience and individual adaptation intentions. Next, we tested whether collective transilience, compared to individual transilience, is more strongly related to community-based adaptation intentions and less strongly to individual adaptation intentions (H2). Furthermore, we tested whether collective transilience 4

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