Simon McNair
University of Leeds
16 Papers
29 Citations
Simon McNair is an academic researcher from University of Leeds. The author has contributed to research in topics: Debt & Causal structure. The author has an hindex of 7, co-authored 16 publications. Previous affiliations of Simon McNair include Queen's University Belfast.
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Papers
Age differences in moral judgment: Older adults are more deontological than younger adults
Simon McNair,Yasmina Okan,Constantinos Hadjichristidis,Constantinos Hadjichristidis,Wändi Bruine de Bruin,Wändi Bruine de Bruin +5 more
TL;DR: In this paper, the authors investigated whether older adults would make more deontological judgments on the basis of experiencing different affective reactions to moral dilemmas as compared with younger adults.
"Thinking about numbers is not my idea of fun": need for cognition mediates age differences in numeracy performance.
TL;DR: This work finds that older adults may show lower numeracy performance due to lack of motivation, and discusses strategies for improving people’s motivation to complete numeracy measures and other numerical tasks.
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Individual-level factors predicting consumer financial behavior at a time of high pressure
TL;DR: In this article, the authors investigated the extent to which levels of reported spending and borrowing in relation to Christmas could be predicted by sociodemographics, money management behaviors, and psychological factors such as coping style, locus of control, materialism, and spendthrift tendencies.
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Whose statistical reasoning is facilitated by a causal structure intervention
Simon McNair,Aidan Feeney +1 more
TL;DR: The results suggest that clarifying causal structure facilitates Bayesian judgments, but only for participants with sufficient understanding of basic concepts in probability and statistics.
When does information about causal structure improve statistical reasoning
Simon McNair,Aidan Feeney +1 more
TL;DR: The amount of Bayesian responding in the causal conditions was impervious to the presence of a load and to the precise statistical information that was presented, but the suggestion that there may be population effects in the accuracy of statistical reasoning is suggested.