Liberali Jordana M, Reyna Valerie F, Furlan Sarah, Stein Lilian M, Pardo Seth T
Erasmus University Rotterdam, Rotterdam, The Netherlands ; Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil.
J Behav Decis Mak. 2012 Oct;25(4):361-381. doi: 10.1002/bdm.752.
Despite evidence that individual differences in numeracy affect judgment and decision making, the precise mechanisms underlying how such differences produce biases and fallacies remain unclear. Numeracy scales have been developed without sufficient theoretical grounding, and their relation to other cognitive tasks that assess numerical reasoning, such as the Cognitive Reflection Test (CRT), has been debated. In studies conducted in Brazil and in the USA, we administered an objective Numeracy Scale (NS), Subjective Numeracy Scale (SNS), and the CRT to assess whether they measured similar constructs. The Rational-Experiential Inventory, inhibition (go/no-go task), and intelligence were also investigated. By examining factor solutions along with frequent errors for questions that loaded on each factor, we characterized different types of processing captured by different items on these scales. We also tested the predictive power of these factors to account for biases and fallacies in probability judgments. In the first study, 259 Brazilian undergraduates were tested on the conjunction and disjunction fallacies. In the second study, 190 American undergraduates responded to a ratio-bias task. Across the different samples, the results were remarkably similar. The results indicated that the CRT is not just another numeracy scale, that objective and subjective numeracy scales do not measure an identical construct, and that different aspects of numeracy predict different biases and fallacies. Dimensions of numeracy included computational skills such as multiplying, proportional reasoning, mindless or verbatim matching, metacognitive monitoring, and understanding the gist of relative magnitude, consistent with dual-process theories such as fuzzy-trace theory.
尽管有证据表明数学能力的个体差异会影响判断和决策,但这些差异如何产生偏差和谬误的精确机制仍不清楚。数学能力量表的开发缺乏足够的理论基础,并且它们与其他评估数字推理的认知任务(如认知反思测试(CRT))之间的关系也一直存在争议。在巴西和美国进行的研究中,我们施测了客观数学能力量表(NS)、主观数学能力量表(SNS)和CRT,以评估它们是否测量了相似的结构。我们还对理性-经验量表、抑制(停止/继续任务)和智力进行了研究。通过检查因子解以及每个因子上加载问题的常见错误,我们刻画了这些量表上不同项目所捕捉到的不同类型的加工。我们还测试了这些因子对概率判断中的偏差和谬误的预测能力。在第一项研究中,对259名巴西本科生进行了合取谬误和析取谬误测试。在第二项研究中,190名美国本科生对比例偏差任务做出了反应。在不同样本中,结果非常相似。结果表明,CRT不仅仅是另一种数学能力量表,客观和主观数学能力量表测量的不是相同的结构,并且数学能力的不同方面预测不同的偏差和谬误。数学能力的维度包括计算技能,如乘法、比例推理、无意识或逐字匹配、元认知监控以及理解相对大小的要点,这与模糊痕迹理论等双加工理论一致。