Literature DB >> 23878413

Individual Differences in Numeracy and Cognitive Reflection, with Implications for Biases and Fallacies in Probability Judgment.

Jordana M Liberali1, Valerie F Reyna, Sarah Furlan, Lilian M Stein, Seth T Pardo.   

Abstract

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.

Entities:  

Keywords:  cognitive reflection; conjunction fallacy; disjunction fallacy; fuzzy-trace theory; intelligence; numeracy; ratio bias

Year:  2012        PMID: 23878413      PMCID: PMC3716015          DOI: 10.1002/bdm.752

Source DB:  PubMed          Journal:  J Behav Decis Mak        ISSN: 0894-3257


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Journal:  Psychol Sci Public Interest       Date:  2006-09-01

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  44 in total

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5.  Effects of Anti- Versus Pro-Vaccine Narratives on Responses by Recipients Varying in Numeracy: A Cross-sectional Survey-Based Experiment.

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6.  Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change.

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Journal:  Med Decis Making       Date:  2019-03-08       Impact factor: 2.583

7.  Should Health Numeracy Be Assessed Objectively or Subjectively?

Authors:  James G Dolan; Olena A Cherkasky; Qinghua Li; Nancy Chin; Peter J Veazie
Journal:  Med Decis Making       Date:  2015-05-06       Impact factor: 2.583

8.  Reasoning and mathematical skills contribute to normatively superior decision making under risk: evidence from the game of dice task.

Authors:  Marie-Theres Pertl; Laura Zamarian; Margarete Delazer
Journal:  Cogn Process       Date:  2017-05-04

9.  Active engagement in a web-based tutorial to prevent obesity grounded in Fuzzy-Trace Theory predicts higher knowledge and gist comprehension.

Authors:  Priscila G Brust-Renck; Valerie F Reyna; Evan A Wilhelms; Christopher R Wolfe; Colin L Widmer; Elizabeth M Cedillos-Whynott; A Kate Morant
Journal:  Behav Res Methods       Date:  2017-08

10.  Communicating Numerical Risk: Human Factors That Aid Understanding in Health Care.

Authors:  Priscila G Brust-Renck; Caisa E Royer; Valerie F Reyna
Journal:  Rev Hum Factors Ergon       Date:  2013-10
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