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- W2894423688 abstract "The Meaning Maintenance Model posits that individuals seek to resolve uncertainty by searching for patterns in the environment, yet little is known about how this is accomplished. Four studies investigated whether uncertainty has an effect on people's cognitive functioning. In particular, we investigated whether meaning threats lead to increased working memory capacity. In each study, we exposed participants to either an uncertain stimulus used to threaten meaning in past studies, or a control stimulus. Participants then completed a working memory measure, where they either had to recall lists of words (Studies 1, 2), or strings of digits (Studies 3, 4). We used both a frequentist approach and Bayesian analysis to evaluate our findings. Across the four studies, we find a small but consistent effect, where participants in the meaning threat condition show improved performance on the working memory tasks. Overall, our findings were consistent with the hypothesis that working memory capacity increases when people experience a meaning threat, which may help to explain improved pattern recognition. Additionally, our results highlight the value of using a Bayesian analytic approach, particularly when studying phenomena with high variance." @default.
- W2894423688 created "2018-10-05" @default.
- W2894423688 creator A5022747612 @default.
- W2894423688 creator A5047241169 @default.
- W2894423688 creator A5066601057 @default.
- W2894423688 creator A5084349288 @default.
- W2894423688 date "2018-10-03" @default.
- W2894423688 modified "2023-10-12" @default.
- W2894423688 title "Searching for answers in an uncertain world: Meaning threats lead to increased working memory capacity" @default.
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- W2894423688 doi "https://doi.org/10.1371/journal.pone.0204640" @default.
- W2894423688 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6169904" @default.
- W2894423688 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30281622" @default.
- W2894423688 hasPublicationYear "2018" @default.
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