@misc{10481/62697,
year = {2012},
month = {1},
url = {http://hdl.handle.net/10481/62697},
abstract = {We introduce the Berlin Numeracy Test, a new psychometrically sound instrument that quickly assesses statistical
numeracy and risk literacy. We present 21 studies (n=5336) showing robust psychometric discriminability across 15
countries (e.g., Germany, Pakistan, Japan, USA) and diverse samples (e.g., medical professionals, general populations,
Mechanical Turk web panels). Analyses demonstrate desirable patterns of convergent validity (e.g., numeracy, general
cognitive abilities), discriminant validity (e.g., personality, motivation), and criterion validity (e.g., numerical and nonnumerical questions about risk). The Berlin Numeracy Test was found to be the strongest predictor of comprehension
of everyday risks (e.g., evaluating claims about products and treatments; interpreting forecasts), doubling the predictive
power of other numeracy instruments and accounting for unique variance beyond other cognitive tests (e.g., cognitive
reflection, working memory, intelligence). The Berlin Numeracy Test typically takes about three minutes to complete
and is available in multiple languages and formats, including a computer adaptive test that automatically scores and
reports data to researchers (www.riskliteracy.org). The online forum also provides interactive content for public outreach
and education, and offers a recommendation system for test format selection. Discussion centers on construct validity
of numeracy for risk literacy, underlying cognitive mechanisms, and applications in adaptive decision support.},
publisher = {Society for Judgment and Decision Making},
keywords = {Risk literacy},
keywords = {Berlin Numeracy Test},
keywords = {Comprehension},
keywords = {Psychometrics},
keywords = {Test validity},
keywords = {Statistical numeracy},
keywords = {Individual differences},
keywords = {Cognitive abilities},
keywords = {Quantitative reasoning},
keywords = {Decision making},
keywords = {Risky choice},
keywords = {Adaptive testing},
keywords = {Mechanical Turk},
title = {Measuring Risk Literacy: The Berlin Numeracy Test},
author = {Cokely, Edward T. and Galesic, Mirta and Schulz, Eric and Ghazal, Saima and García Retamero Imedio, María Del Rocío},
}