Project info
Work package
- Synthesis
Sustainability threat
- External Shocks
Challenge
- Network co-evolution
Study info
Description of Study
Past studies have shown that when under extreme duress, people tend to cooperate rather than act selfishly (Auf der Heide, 2004; Drury, 2018). ). What appears to occur then is ‘contagious’ cooperation, in which people spontaneously self-organize in contexts where there is uncertainty and insufficient time for an organized (communicated) response. However, once the threat passes, spontaneous cooperation seems to fade. The current study aims to understand the processes underpinning spontaneous cooperation. To do this, we simulated a building evacuation in which participants were confronted with an obstacle blocking their escape.
Study research question
What are the processes underpinning spontaneous cooperation?
Collection provenance
- Collected during project
Collection methods
- Experiment
- Observation
- Questionaire
Personal data
Yes
External Source
Source description
File formats
Data types
- Structured
- Unstructured
Languages
- English
Coverage start
Coverage end
Spatial coverage
Collection period start
01/10/2024
Collection period end
06/12/2024
Variables
Unit
Unit description
Sample size
Sampling method
Individuals
Psychology bachelor students
268
SONA
Hypothesis
Theory
Participants in the alarm condition will report higher levels of cooperation and group processes (common fate, solidarity, perceived emotions, and joint intentions) than in the announcement condition (H1).
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Regardless of experiment condition, group processes will be positively associated with the reported level of cooperation (H2).
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The relationship between group processes (common fate, solidarity, perceived emotions, and joint intentions) will be stronger in the alarm condition than in the announcement condition (H3).
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Variable type
Variable name
Variable description
Independent variable
Experimental manipulation
The experimental manipulation consisted of two conditions (control=0, experimental=1) with different auditory signals. In the experimental condition, participants heard a fire alarm and the verbal instructions: “Attention! This is an emergency. Please follow the emergency exit signs and immediately leave the building.” The purpose of the experimental condition was to simulate a collective threat event (i.e., a building evacuation). As participants were leaving, they encountered an obstacle consisting of two tables, four chairs and five metal recycling containers which hindered their ability to exit the building. The purpose of the obstacle was to strengthen the saliency of the threat. The control condition followed the same procedure, including the obstacle, but the auditory signal was an announcement bell and the verbal instructions: Attention. This task has now ended. Please leave your cubicles and follow the exit signs to go out.” The auditory signal was played over a speaker (Ultimate Ears Wonderboom 3) situated near the exit.
Independent variable
Perceived shared emotions
We chose 15 emotions and measured the extent to which participants felt each on an individual (self-emotions) and group level (other-emotions). Participants rated their agreement on a 7-point scale (-3-Strongly disagree, 3-Strongly agree) with the following statements: “As I heard the auditory signal and got up to leave, I felt [alarmed]” and “In my view, the other participants felt [alarmed]” (𝛼self-emotions = 0.66, 𝛼other-emotions = 0.72). Participants were also asked to list other emotions that were not included but that they felt.
Independent variable
Common fate
We measured common fate using a 3-item scale from Drury (2016) and included two additional items (5-items), example item: “We were all in this together” (𝛼 = 0.80). Participants rated their agreement on a 7-point scale (-3-Strongly disagree, 3-Strongly agree).
Independent variable
Solidarity
We measured three components of solidarity (belonging, identification, and entitativity) (Van Mourik Broekman et al., 2018). We measured belongingness to the groups with five items, example item: “I felt as one with the others” (𝛼 = 0.82, Need Threat Scale, Van Beest & Williams, 2006). We sampled five items from Leach et al., (2008) to assess identification with the group, example item: “I identify with the others in the group” (𝛼 = 0.81). Lastly, we measured entitativity with other participants using four items, example item: “I feel that the others and I are a unit” (𝛼 = 0.89, Jans et al., 2011). For all solidarity components, participants rated their agreement on a 7-point scale (-3-Strongly disagree, 3-Strongly agree). We then aggregated the mean scores for each component into a single aggregated score for solidarity for each participant (𝛼 = 0.84).
Independent variable
Joint intention
We measured joint intention in two ways. The first consisted of a single question aimed at understanding participants’ primary goal when encountering the obstacle. Participants responded on a bipolar slider from “I wanted to get myself out” (-3, I-goal) to “I wanted to get everyone out” (3, We-goal). We then designed six items to test joint intentions. Participants rated their agreement on a 7-point scale (-3-Strongly disagree, 3-Strongly agree), example item: “We jointly saw to it that the obstacle was cleared” (𝛼 = 0.81).
Dependent variable
Cooperation
Cooperation was measured in two ways: 1) self-report; and 2) video/ audio data. For the self-report measure, we designed six items to measure cooperation, example item: ‘The other participants and I worked well together’ (𝛼 = 0.76). Participants rated their agreement on a 7-point scale (-3-Strongly disagree, 3-Strongly agree). Video and audio data were collected using four Lamax X3.1 Atlas video cameras. The videos had a wide frame of view with a video resolution of 1080 pixels and a frame rate of 30 frames per second. The cameras were positioned just below the ceiling and angled to capture as much of each room as possible. There were two cameras situated in the room outside the cubicles and two cameras situated in the room with the obstacle (see supplementary material for layout). The recordings took place in a laboratory setting. The video and audio recordings were transcribed verbatim. We then developed an ethogram (see Sieben & Postmes, unpublished) to analyze observed behaviors. Inter-rater reliability was assessed, and discrepancies were resolved through discussion.
Discipline-specific operationalizations
Conflict of interest
The authors have declared that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Data packages
Publications
Documents
Filename
Description
Date
Ethics
Ethical assessment
Yes
Ethical committee
The Ethics Committee of the Faculty of Behavioural and Social Sciences of the University of Groningen (PSY-2324-S-0166)