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- W2113125433 abstract "Our ability to detect causal relations and patterns of covariation is easily biased by a number of well-known factors. For example, people tend to overestimate the strength of the relation between a cue and an outcome if the outcome tends to occur very frequently. During the last years, several accounts have attempted to explain the outcome-density bias. On the one hand, dual-process performance accounts propose that biases are not due to the way associations are encoded, but to the higher-order cognitive processes involved in the retrieval and use of this information. In other words, the outcome-density bias is seen as a performance effect, not a learning effect. From this point of view, it is predicted that the outcome-density bias should be absent in any testing procedure that reduces the motivation or opportunity to engage in higher-order cognitive processes. Contrary to this prediction, but consistent with the most common single-process learning accounts, our results show that the outcome-density effect can be detected when the Implicit Association Test is used to measure the strength of cue–outcome associations." @default.
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- W2113125433 date "2013-11-01" @default.
- W2113125433 modified "2023-10-14" @default.
- W2113125433 title "Evidence for an illusion of causality when using the Implicit Association Test to measure learning" @default.
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- W2113125433 doi "https://doi.org/10.1016/j.lmot.2013.04.001" @default.
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