Seeing the forest and not the trees: When impact uncertainty heightens causal complexity
This study attempts to isolate the effects of experiencing uncertainty on people's cognitive processes. I argue that people can believe that their actions affect the outcome (i.e. outcome control), but still face uncertainty regarding the extent to which actions will make a difference (i.e. imp...
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sg-smu-ink.soss_research-32122020-04-02T06:19:26Z Seeing the forest and not the trees: When impact uncertainty heightens causal complexity AU, Evelyn W. M. This study attempts to isolate the effects of experiencing uncertainty on people's cognitive processes. I argue that people can believe that their actions affect the outcome (i.e. outcome control), but still face uncertainty regarding the extent to which actions will make a difference (i.e. impact uncertainty). To this end, I introduce a novel experimental paradigm which isolates the effects of impact uncertainty from outcome control. The findings revealed that after experiencing impact uncertainty, participants demonstrated greater causal complexity (i.e. more likely to make situational attributions and judge outcomes as having a “ripple effect”), but did not make fewer effort attributions for the outcomes. These findings demonstrate how the experience of impact uncertainty can affect cognitive processing, without compromising outcome control. Implications of these findings for developing more nuanced theories on control and uncertainty are discussed. 2017-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/1955 info:doi/10.1002/ijop.12224 https://ink.library.smu.edu.sg/context/soss_research/article/3212/viewcontent/Au_SeeForestNotTrees_2017_IJP.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Uncertainty perceived control causal complexity attributions Cognition and Perception Cognitive Psychology Psychology |
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Uncertainty perceived control causal complexity attributions Cognition and Perception Cognitive Psychology Psychology AU, Evelyn W. M. Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
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This study attempts to isolate the effects of experiencing uncertainty on people's cognitive processes. I argue that people can believe that their actions affect the outcome (i.e. outcome control), but still face uncertainty regarding the extent to which actions will make a difference (i.e. impact uncertainty). To this end, I introduce a novel experimental paradigm which isolates the effects of impact uncertainty from outcome control. The findings revealed that after experiencing impact uncertainty, participants demonstrated greater causal complexity (i.e. more likely to make situational attributions and judge outcomes as having a “ripple effect”), but did not make fewer effort attributions for the outcomes. These findings demonstrate how the experience of impact uncertainty can affect cognitive processing, without compromising outcome control. Implications of these findings for developing more nuanced theories on control and uncertainty are discussed. |
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AU, Evelyn W. M. |
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AU, Evelyn W. M. |
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AU, Evelyn W. M. |
title |
Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
title_short |
Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
title_full |
Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
title_fullStr |
Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
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Seeing the forest and not the trees: When impact uncertainty heightens causal complexity |
title_sort |
seeing the forest and not the trees: when impact uncertainty heightens causal complexity |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/soss_research/1955 https://ink.library.smu.edu.sg/context/soss_research/article/3212/viewcontent/Au_SeeForestNotTrees_2017_IJP.pdf |
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