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Validation of the Subjective Numeracy Scale: Effects of Low Numeracy on Comprehension of Risk Communications and Utility Elicitations

Citations

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Cited by:

  1. Hannah A D Keage & Tobias Loetscher, 2018. "Estimating everyday risk: Subjective judgments are related to objective risk, mapping of numerical magnitudes and previous experience," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
  2. Dolores J. Severtson & Jeffrey D. Myers, 2013. "The Influence of Uncertain Map Features on Risk Beliefs and Perceived Ambiguity for Maps of Modeled Cancer Risk from Air Pollution," Risk Analysis, John Wiley & Sons, vol. 33(5), pages 818-837, May.
  3. Yaniv Hanoch & Talya Miron-Shatz & Mary Himmelstein, 2010. "Genetic testing and risk interpretation: How do women understand lifetime risk results?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(2), pages 116-123, April.
  4. Teresa Bago d'Uva & Esen Erdogan Ciftci & Owen O'Donnell & Eddy van Doorslaer, 2015. "Who can predict their Own Demise? Accuracy of Longevity Expectations by Education and Cognition," Tinbergen Institute Discussion Papers 15-052/V, Tinbergen Institute.
  5. repec:cup:judgdm:v:5:y:2010:i:2:p:116-123 is not listed on IDEAS
  6. repec:cup:judgdm:v:13:y:2018:i:4:p:372-381 is not listed on IDEAS
  7. Becky L. Choma & David Sumantry & Yaniv Hanoch, 2019. "Right-wing ideology and numeracy: A perception of greater ability, but poorer performance," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 412-422, July.
  8. Garcia-Retamero, Rocio & Hoffrage, Ulrich, 2013. "Visual representation of statistical information improves diagnostic inferences in doctors and their patients," Social Science & Medicine, Elsevier, vol. 83(C), pages 27-33.
  9. Carmen Keller & Michael Siegrist & Vivianne Visschers, 2009. "Effect of Risk Ladder Format on Risk Perception in High‐ and Low‐Numerate Individuals," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1255-1264, September.
  10. Marie-Anne Durand & Renata W Yen & James O’Malley & Glyn Elwyn & Julien Mancini, 2020. "Graph literacy matters: Examining the association between graph literacy, health literacy, and numeracy in a Medicaid eligible population," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
  11. Wolfgang Gaissmaier & Kevin E. Tiede & Rocio Garcia-Retamero, 2023. "The Lure of Beauty: People Select Representations of Statistical Information Largely Based on Attractiveness, Not Comprehensibility," Medical Decision Making, , vol. 43(7-8), pages 774-788, October.
  12. Oliver James & Gregg G. Van Ryzin, 2019. "Rates and the Judgment of Government Performance," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(2).
  13. Dolores J. Severtson & James E. Burt, 2012. "The Influence of Mapped Hazards on Risk Beliefs: A Proximity‐Based Modeling Approach," Risk Analysis, John Wiley & Sons, vol. 32(2), pages 259-280, February.
  14. Binswanger, Johannes & Salm, Martin, 2013. "Does Everyone Use Probabilities? Intuitive and Rational Decisions about Stockholding," IZA Discussion Papers 7265, Institute of Labor Economics (IZA).
  15. Brian J. Zikmund-Fisher & Angela Fagerlin & Peter A. Ubel, 2010. "A Demonstration of ‘‘Less Can Be More’’ in Risk Graphics," Medical Decision Making, , vol. 30(6), pages 661-671, November.
  16. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.
  17. Yaniv Hanoch & Jonathan Rolison & Alexandra M. Freund, 2019. "Reaping the Benefits and Avoiding the Risks: Unrealistic Optimism in the Health Domain," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 792-804, April.
  18. Sarah A. Kusumastuti & Jim Blythe & Heather Rosoff & Richard S. John, 2020. "Behavioral Determinants of Target Shifting and Deterrence in an Analog Cyber‐Attack Game," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 476-493, March.
  19. repec:cup:judgdm:v:9:y:2014:i:1:p:15-34 is not listed on IDEAS
  20. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
  21. Fasolo, Barbara & Bana e Costa, Carlos A., 2014. "Tailoring value elicitation to decision makers' numeracy and fluency: Expressing value judgments in numbers or words," Omega, Elsevier, vol. 44(C), pages 83-90.
  22. repec:cup:judgdm:v:14:y:2019:i:4:p:412-422 is not listed on IDEAS
  23. Angela Fagerlin & Brian J. Zikmund-Fisher & Peter A. Ubel & Aleksandra Jankovic & Holly A. Derry & Dylan M. Smith, 2007. "Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale," Medical Decision Making, , vol. 27(5), pages 672-680, September.
  24. Jakub Traczyk & Agata Sobkow & Kamil Fulawka & Jakub Kus & Dafina Petrova & Rocio Garcia-Retamero, 2018. "Numerate decision makers don't use more effortful strategies unless it pays: A process tracing investigation of skilled and adaptive strategy selection in risky decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 372-381, July.
  25. Carmen Keller, 2011. "Using a Familiar Risk Comparison Within a Risk Ladder to Improve Risk Understanding by Low Numerates: A Study of Visual Attention," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1043-1054, July.
  26. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
  27. Rebecca Hess & Vivianne H.M. Visschers & Michael Siegrist & Carmen Keller, 2011. "How do people perceive graphical risk communication? The role of subjective numeracy," Journal of Risk Research, Taylor & Francis Journals, vol. 14(1), pages 47-61, January.
  28. Saima Ghazal & Edward T. Cokely & Rocio Garcia-Retamero, 2014. "Predicting biases in very highly educated samples: Numeracy and metacognition," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(1), pages 15-34, January.
  29. Brandon Garrett & Gregory Mitchell, 2013. "How Jurors Evaluate Fingerprint Evidence: The Relative Importance of Match Language, Method Information, and Error Acknowledgment," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 484-511, September.
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