Department of Occupational, Economic, and Social Psychology, University of Vienna, Universitätsstr. 7, A-1010, Vienna, Austria.
Department of Psychology, Ruhr University Bochum, Bochum, Germany.
Mem Cognit. 2024 Oct;52(7):1609-1625. doi: 10.3758/s13421-024-01567-y. Epub 2024 May 6.
The pseudocontingency framework provides a parsimonious strategy for inferring the contingency between two variables by assessing the base rates. Frequently occurring levels are associated, as are rarely occurring levels. However, this strategy can lead to different contingency inferences in different contexts, depending on how the base rates vary across contexts. Here, we examine how base-rate consistency influences base-rate learning and reliance by contrasting consistent with inconsistent base rates. We hypothesized that base-rate learning is facilitated, and that people rely more on base rates if base rates are consistent. In Experiment 1, the base rates across four contexts implied the same (consistent) or different (inconsistent) contingencies. Base rates were learned equally accurately, and participants inferred contingencies that followed the base rates but deviated from the genuine contingencies within contexts, regardless of consistency. In Experiment 2, we additionally manipulated whether the context was a plausible moderator of the contingency. While we replicated the first experiment's results when the context was a plausible moderator, base-rate inferences were stronger for consistent base rates when the context was an implausible moderator. Possibly, when a moderation-by-context was implausible, participants also relied on the base-rate correlation across contexts, which implied the same contingency when base rates were consistent but was zero when the base rates were inconsistent. Thus, our findings suggest that contingency inferences from base rates involve top-down processes in which people decide how to use base-rate information.
伪连续框架通过评估基础比率为推断两个变量之间的连续性提供了一种简洁的策略。经常出现的水平是相关的,很少出现的水平也是相关的。然而,这种策略在不同的语境中可能会导致不同的连续性推断,这取决于基础比率在不同语境中的变化方式。在这里,我们通过对比一致和不一致的基础比率来研究基础比率的一致性如何影响基础比率的学习和依赖。我们假设,如果基础比率是一致的,那么基础比率的学习会更容易,人们也会更多地依赖基础比率。在实验 1 中,四个语境中的基础比率暗示了相同(一致)或不同(不一致)的连续性。基础比率的学习同样准确,参与者推断出与基础比率一致但在语境内偏离真实连续性的连续性,无论一致性如何。在实验 2 中,我们还额外操纵了语境是否是连续性的合理调节者。虽然当语境是连续性的合理调节者时,我们复制了实验 1 的结果,但当语境是不合理调节者时,一致的基础比率的基础比率推断更强。可能,当语境调节不合理时,参与者也会依赖跨语境的基础比率相关性,当基础比率一致时,该相关性暗示相同的连续性,但当基础比率不一致时,该相关性为零。因此,我们的发现表明,从基础比率推断连续性涉及自上而下的过程,人们在其中决定如何使用基础比率信息。