Team:ETH Zurich/human/survey

From 2014.igem.org

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So far we have received 806 responses. The population consists of randomly selected people of all ages, sexes, and educational background. Further other iGEM teams were asked for their participation in our study, to have a more diverse population. Teams were requested to get more responses for our survey. Every team that managed to get at least 20 responses to our survey has been awarded a badge that can be posted on their wiki as a token of our appreciation. This task gave us a great opportunity to collaborate and network with different teams.  
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So far we have received 806 responses. The population consists of randomly selected people of all ages, sexes, and educational background. Further other iGEM teams were asked for their participation in our study, to have a more diverse population. Teams were requested to get more responses for our survey. Every team that managed to get at least 20 responses to our survey has been awarded a badge that can be posted on their wiki as a token of our appreciation. This task gave us a great opportunity to collaborate and network with different teams. We would like to thank them for their participation.
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Our interpretations of the survey are summarised in the graphical illustrations below.
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Our interpretations of the survey are summarised in the graphical illustrations below.*
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The combined results suggested that 54.32% felt neutral to the word, 32% associated it with positive feelings and about 13.7% had negative feelings for the word. However, as we looked at language specific responses we found that although the majority still felt neutral there was a difference in the numbers for positive and negative feelings. For instance, in Deutsch there was an equal number of positive and negative responses, while the French responses were slightly biased towards positive feelings (about 6%). In English however, 37% voted for positive feelings while only 12.77% voted as negative.  
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The combined results suggested that 54.32% felt neutral to the word, 32% associated it with positive feelings and about 13.7% had negative feelings for the word. However, as we looked at language specific responses we found that although the majority still felt neutral there was a difference in the numbers for positive and negative feelings. For instance, in German there was an equal number of positive and negative responses, while the French responses were slightly biased towards positive feelings (about 6%). In English however, 37% voted for positive feelings while only about 12% voted as negative.  
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The results for this question are summarised in the figure above. We were interested to see how people respond and reason out when given a series of events. The majority chose the union of James and Alicia as the main cause for Robins birth. We found that many opted for logical or funny responses while only 3.5% chose "god" as the cause. We think, this could be attributed to the age group population. Our survey was mainly filled by students and we think this could be add some bias to the results.
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The results for this question are summarised in the figure above. We were interested to see how people respond and reason out when given a series of events. The majority chose the union of James and Alicia as the main cause for Robins birth. We found that many opted for logical or funny responses while only 3.5% chose "God" as the cause. We think, this could be attributed to the age group population. Our survey was mainly filled by students and we think this could be add some bias to the results.
However, we mainly used this question to understand how people defined their frame size to relate the cause and outcome. For instance, those who chose "Because ages ago, life appeared on the Earth", had a wider frame relating the cause and outcome, while those who chose union of James and Alicia had a narrower frame.  The answer chosen by the person taking the survey, in a very crude way shows the extent of complexity the person is willing to incorporate to relate the cause and result.  
However, we mainly used this question to understand how people defined their frame size to relate the cause and outcome. For instance, those who chose "Because ages ago, life appeared on the Earth", had a wider frame relating the cause and outcome, while those who chose union of James and Alicia had a narrower frame.  The answer chosen by the person taking the survey, in a very crude way shows the extent of complexity the person is willing to incorporate to relate the cause and result.  
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''"We will never know, It's a chain of consequences starting at the first ages of the planet, conjugated with randomness."''
''"We will never know, It's a chain of consequences starting at the first ages of the planet, conjugated with randomness."''
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''"Because, during the diving lesson, James wore a swimsuit that made him look good."''
''"There is not enough information."''
''"There is not enough information."''
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Lastly, for us the most exciting part of the survey was the response to the questions addressing the need to understand complexity. When asked about approaching complexity, about 70% voted for simplifying and trying to understand complexity instead of avoiding it. Further, 57% voted in favour of our approach for understanding complexity. These responses were very encouraging and motivating for us.  
Lastly, for us the most exciting part of the survey was the response to the questions addressing the need to understand complexity. When asked about approaching complexity, about 70% voted for simplifying and trying to understand complexity instead of avoiding it. Further, 57% voted in favour of our approach for understanding complexity. These responses were very encouraging and motivating for us.  
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''[Note: We tried to have a diverse population for our survey. However, from the ages we observe that the survey is biased towards the ages between 18-25. Further, survey is also biased towards Europe in terms of location of the people.]''
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Latest revision as of 00:21, 18 October 2014

iGEM ETH Zurich 2014