Medicine and Health Sciences Commons^™

Review Of Innumeracy In The Wild: Misunderstanding And Misusing Numbers By Ellen Peters, Gizem Karaali

Numeracy

Ellen Peters’s new book Innumeracy in the Wild: Misunderstanding and Misusing Numbers (Oxford University Press, 2020) is a whirlwind tour of psychological research on numeracy and its interactions with decision-making. The book is packed full of convincing arguments about the impact of numeracy and innumeracy on people's decisions and life outcomes, piles of supporting evidence and relevant references, and detailed expositions of multitudes of research results. Thus, it can serve the motivated reader well as a comprehensive literature review of psychologically oriented research on numeracy and decision-making.

From R0 To The Herd: A Review Of The Rules Of Contagion, By Adam Kucharski, Nathan D. Grawe

Numeracy

Adam Kucharski. 2020. The Rules of Contagion: Why Things Spread--and Why They Stop; (London: Profile Books, Ltd.). Hardback ISBN 978-17-88-16019-3. E-book ISBN 978-17-82-83430-4.

Kucharski's well-timed Rules of Contagion provides an introduction to the mathematical and epidemiological principles behind contagious phenomenon. While the author's primary expertise stems from work on biological epidemics, the book points to examples from a wide range of fields including finance, psychology, computer science, and criminology. As such, selections of the book could be used by faculty in a wide range of classes to show how our recent experience with a viral epidemic might add to …

Factors In The Probability Of Covid-19 Transmission In University Classrooms, Charles Connor

Numeracy

University students and faculty members need an effective strategy to evaluate and reduce the probability that an individual will become infected with COVID-19 as a result of classroom interactions. Models are developed here that consider the probability an individual will become infected as a function of: prevalence of the disease in the university community, number of students in class, number of class meetings, and transmission rate in the classroom given the presence of an infected individual. Absolute probabilities that an individual will become infected in a classroom environment cannot be calculated because some of these factors have unknown values. Nevertheless, …

The Covid-19 Pandemic And The Power Of Numbers, Jessica Ancker

Numeracy

The COVID-19 pandemic has produced a deluge of news coverage of quantitative concepts. In this viewpoint, we provide examples of effective and poor quantitative communication by the professional news media as well as social media communicators. Effective examples include a number of online animations and engaging interactive simulations. Examples of poor quantitative communication include the widespread reporting of raw numbers rather than rates, failing to address uncertainty, not providing sufficient context for numbers, and not discussing the implications of false negative and false positive diagnostic test results. Educators can draw from this body of news to develop compelling quantitative literacy …

Using Visual Analogies To Teach Introductory Statistical Concepts, Jessica S. Ancker, Melissa D. Begg

Numeracy

Introductory statistical concepts are some of the most challenging to convey in quantitative literacy courses. Analogies supplemented by visual illustrations can be highly effective teaching tools. This literature review shows that to exploit the power of analogies, teachers must select analogies familiar to the audience, explicitly link the analog with the target concept, and avert misconceptions by explaining where the analogy fails. We provide guidance for instructors and a series of visual analogies for use in teaching medical and health statistics.

The Problem Of Too Many Statistical Tests: Subgroup Analyses In A Study Comparing The Effectiveness Of Online And Live Lectures, David M. Lane

Numeracy

The more statistical analyses performed in the analysis of research data, the more likely it is that one or more of the conclusions will be in error. Multiple statistical analyses can occur when the sample contains several subgroups and the researchers perform separate analyses for each subgroup. For example, separate analyses may be done for different ethnic groups, different levels of education, and/or for both genders. Media reports of research frequently omit information on the number of subgroup analyses performed thus leaving the reader with insufficient information to assess the validity of the conclusions. This article discusses the problems with …