a publication of the behavioral science & policy association
Vol 6 issue 2 2020
featured topic covid 19
behavioralpolicy.org` founding co-editors disciplinary editors Craig R. Fox (UCLA) Behavioral Economics Sim B Sitkin (Duke University) Senior Disciplinary Editor Dean S. Karlan (Northwestern University) senior policy editor Associate Disciplinary Editors Oren Bar-Gill (Harvard University) Colin F. Camerer (California Institute ofTechnology) Carol L. Graham (Brookings Institution) M. Keith Chen (UCLA) bspa executive director Julian Jamison (World Bank) Kate B.B. Wessels Russell B. Korobkin (UCLA) advisory board Devin G. Pope (University of Chicago) Jonathan Zinman (Dartmouth College) Paul Brest (Stanford University) Cognitive & Brain Science David Brooks (New York Times) Senior Disciplinary Editor Henry L. Roediger III (Washington University) John Seely Brown (Deloitte) Associate Disciplinary Editors Yadin Dudai (Weizmann Institute & NYU) Robert B. Cialdini (Arizona State University) Roberta L. Klatzky (Carnegie Mellon University) Adam M. Grant (University of Pennsylvania) Hal Pashler (UC San Diego) Daniel Kahneman (Princeton University) Steven E. Petersen (Washington University) Jeffrey Pfeffer (Stanford University) Jeremy M. Wolfe (Harvard University) Denise M. Rousseau (Carnegie Mellon University) Decision, Marketing, & Management Sciences Paul Slovic (University of Oregon) Senior Disciplinary Editor Eric J. Johnson (Columbia University) Cass R. Sunstein (Harvard University) Associate Disciplinary Editors Linda C. Babcock (Carnegie Mellon University) Richard H. Thaler (University of Chicago) Max H. Bazerman (Harvard University) executive committee Baruch Fischhoff (Carnegie Mellon University) Morela Hernandez (University of Virginia) John G. Lynch (University of Colorado) Katherine L. Milkman (University of Pennsylvania) Ellen Peters (Ohio State University) Daniel Oppenheimer (Carnegie Mellon University) John D. Sterman (MIT) Todd Rogers (Harvard University) George Wu (University of Chicago) David Schkade (UC San Diego) Organizational Science Joe Simmons (University of Pennsylvania) Senior Disciplinary Editors Carrie R. Leana (University of Pittsburgh) bspa team Jone L. Pearce (UC Irvine) Associate Disciplinary Editors Stephen R. Barley (Stanford University) Kaye N. de Kruif, Managing Editor (Duke University) Rebecca M. Henderson (Harvard University) Carsten Erner, Statistical Consultant (FS Card) Thomas A. Kochan (MIT) A. David Nussbaum, Director of Communications (Chicago) Ellen E. Kossek (Purdue University) Ricki Rusting, Editorial Director Elizabeth W. Morrison (NYU) Jehan Sparks, Media Manager William Ocasio (Northwestern University) consulting editors Sara L. Rynes-Weller (University of Iowa) Dan Ariely (Duke University) Andrew H. Van de Ven (University of Minnesota) Shlomo Benartzi (UCLA) Social Psychology Laura L. Carstensen (Stanford University) Senior Disciplinary Editor Nicholas Epley (University of Chicago) Susan T. Fiske (Princeton University) Associate Disciplinary Editors Dolores Albarracín (University of Illinois) Chip Heath (Stanford University) Susan M. Andersen (NYU) David I. Laibson (Harvard University) Thomas N. Bradbury (UCLA) George Loewenstein (Carnegie Mellon University) John F. Dovidio (Yale University) Richard E. Nisbett (University of Michigan) David A. Dunning (Cornell University) M. Scott Poole (University of Illinois) E. Tory Higgins (Columbia University) Eldar Shafir (Princeton University) John M. Levine (University of Pittsburgh) Harry T. Reis (University of Rochester) policy editors Tom R. Tyler (Yale University) Henry J. Aaron (Brookings Institution) Sociology Matthew D. Adler (Duke University) Senior Disciplinary Editors Peter S. Bearman (Columbia University) Peter Cappelli (University of Pennsylvania) Karen S. Cook (Stanford University) Thomas D’Aunno (NYU) Associate Disciplinary Editors Paula England (NYU) J.R. DeShazo (UCLA) Peter Hedstrom (Oxford University) Brian Gill (Mathematica) Arne L. Kalleberg (University of North Carolina) Michal Grinstein-Weiss (Washington University) James Moody (Duke University) Ross A. Hammond (Brookings Institution) Robert J. Sampson (Harvard University) Ron Haskins (Brookings Institution) Bruce Western (Harvard University) Arie Kapteyn (University of Southern California) John R. Kimberly (University of Pennsylvania) Mark Lubell (UC Davis) Annamaria Lusardi (George Washington University) Timothy H. Profeta (Duke University) Donald A. Redelmeier (University of Toronto) Rick K. Wilson (Rice University) Kathryn Zeiler (Boston University)
Copyright © 2020 Behavioral Science & Policy is Authorization to photocopy Copyright Clearance Center, general distribution, or for Behavioral Science & Policy a publication of the Behavioral items for internal or personal 222 Rosewood Drive, creating new collective works, Association Science & Policy Association, use or the internal or personal Danvers, MA 01923. For more or for sale. Specific written Brookings Institution P.O. Box 51336, Durham, NC use of specific clients is granted information, please contact, permission for other copying 27717-1336, and is published by the Brookings Institution CCC, at +1 978-750-8400 and must be obtained from the ISSN 2379-4615 (online) twice yearly with the Brookings for libraries and other users online at www.copyright.com Permissions Department, ISBN 978-0-8157-3906-7 (epub) Institution, 1775 Massachusetts registered with the Copyright Brookings Institution Press, Avenue, NW, Washington Clearance Center Transactional This Authorization does not 1775 Massachusetts Avenue, NW DC 20036, and through the Reporting Service, provided that extend to other kinds of Washington, DC, 20036; e-mail: Brookings Institution Press. the basic fee is paid to the copying, such as copying for [email protected]. Behavioral Science & Policy Volume 6 Issue 2 2020
iii Editors’ note Jehan Sparks, Gretchen Chapman, Thomas D’Aunno, Jason Doctor, George Loewenstein, & Mitesh Patel Spotlight Editors
Features
1 13 Proposal Finding Communicating about diseases that Graphs with logarithmic axes originate in animals: Lessons from the distort lay judgments psychology of inductive reasoning William H. Ryan & Ellen R. K. Evers Tyler Davis, Mark LaCour, Micah Goldwater, Brent Hughes, Molly E. Ireland, Darrell A. Worthy, Nick Gaylord, & Jason Van Allen
25 35 Finding Finding Keeping safe versus staying healthy: the Low voice pitch in orally delivered effect of regulatory fit on social distancing recommendations can increase compliance Jiaqian Wang, Angela Y. Lee with hand sanitizer use among young adults Eugene Chan
43 51 Report Finding Psychological predictors of prevention Nudges emphasizing social norms increased behaviors during the COVID-19 pandemic hospital visitors’ hand sanitizer use Stephen B. Broomell, Gretchen B. Hilde Mobekk & Laila Stokke Chapman, & Julie S. Downs
59 69 Review Proposal Preserving employee trust during crisis Softening the blow: Incorporating employee Nicole Gillespie, Rosalind Searle, Stefanie perceptions of justice into best practices for Gustafsson, & Veronica Hope Hailey layoffs during the COVID-19 pandemic Isabel Bilotta, Shannon K. Cheng, Linnea C. Ng, Abby R. Corrington, Ivy Watson, Eden B. King, & Mikki R. Hebl
77 87 Proposal Proposal The coronavirus & work–life inequality: Managing remote workers during Three evidence-based initiatives to update quarantine: Insights from organizational U.S. work–life employment policies research on boundary management Ellen Ernst Kossek & Kyung-Hee Lee Matthew B. Perrigino & Roshni Raveendhran Behavioral Science & Policy Volume 6 Issue 2 2020
95 101 Proposal Proposal Adapting the U.S. Air Force’s combat rescue How behavioral science can inform policies management practices could improve to prevent discrimination against the Asian organizational responses to challenges community in the era of COVID-19 posed by the COVID-19 pandemic Abby Corrington, Mikki Hebl, Linnea Vicki Whiting, Brian Wierman, & Phillip Whiting C. Ng, Ivy Watson, Isabel Bilotta, Shannon K. Cheng, & Eden King
109 123 Finding Essay Gender differences in preventing A community-based sociocultural network the spread of coronavirus approach to controlling COVID-19 contagion: Irmak Olcaysoy Okten, Anton Seven suggestions for improving policy Gollwitzer, & Gabriele Oettingen Timothy R. Hannigan, Milo Shaoqing Wang, Christopher W. J. Steele, Marc-David L. Seidel, Ed Cervantes, & P. Devereaux Jennings
137 145 Proposal Finding Behavioral insights for minimizing loneliness Fear & anxiety in the time of COVID-19: during the COVID-19 pandemic How they influence behavior Kelly A. Nault, Benjamin A. Rogers, Christina K. Zigler, Nicole Lucas, Debra Ovul Sezer, & Nadav Klein M. Henke, & Ilona Fridman
153 163 Proposal Proposal Vicarious learning in the time of coronavirus Behavioral insights for containing the Christopher G. Myers COVID-19 pandemic: Some practices in China Ning Zhang
ii behavioral science & policy | volume 6 issue 2 2020 editors’ note
n this spotlight issue of Behavioral Science & Four articles explore how policymakers can Policy, we present a broad set of articles in more effectively communicate health messages Iwhich behavioral science insights are used to about COVID-19 to the public. Tyler Davis, Mark confront myriad issues created by the COVID-19 LaCour, Micah Goldwater, Brent Hughes, Molly crisis. The pandemic has upended some of the E. Ireland, Darrell A. Worthy, Nick Gaylord, and most stable features of modern life—from social Jason Van Allen apply insights from research interactions with friends, to working in an office, on inductive reasoning to provide advice on to business transactions, to everyday rituals— crafting effective public health communications. which now cannot be undertaken without The authors show that the way public health first donning a face mask. Decisionmakers in officials communicate about a disease’s governments and organizations at all levels origin—for example, saying that it originates and individual citizens have had to adapt to the in an exotic species as opposed to a more challenges presented by the pandemic’s new common species—can affect how members of normal. In March 2020, Behavioral Science the public generalize from the information to & Policy issued a call for abstracts, asking for assess the risks of contracting the disease from articles that would apply behavioral science various animals. Understanding how people use to the public health and economic challenges inductive reasoning to draw conclusions about posed by the pandemic. Our reviewers assessed health risks represents a creative application well over 100 submissions and scrutinized of cognitive and behavioral science that can articles in a streamlined peer-review process generate actionable policy solutions in response organized by Jehan Sparks (University of to the current crisis. California, Los Angeles). Manuscripts were guest-edited by Gretchen Chapman (Carnegie William Ryan and Ellen Evers present four Mellon University), Thomas D’Aunno (New York studies suggesting that public communications University), Jason Doctor (University of Southern involving graphs about COVID-19 should use California), George Loewenstein (Carnegie linear scales whenever possible. Compared Mellon University), and Mitesh Patel (University with viewing logarithmic graphs, viewing linear of Pennsylvania), with assistance from Behavioral graphs leads people to express more support Science & Policy founding co-editor Craig Fox. for policy interventions, report more intention to engage in protective behaviors, and make more The articles were written by authors from a accurate predictions of COVID-19’s spread. number of countries and tackle a variety of complex topics, including how to produce Jiaqian Wang and Angela Y. Lee report on their effective health messages, ways to increase investigation into the persuasiveness of “stay preventive behaviors, actions organizations healthy” (that is, health-promotion) messages can take, the pandemic’s effects on different versus “keep safe” (that is, disease-prevention) social groups, mental health effects, and the messages that encourage people to adopt social importance of learning from the experiences distancing measures. Drawing on regulatory fit of others. By addressing the multifaceted theory, Wang and Lee show that the intention nature of the pandemic and amplifying diverse to social distance is maximized by messages perspectives, this spotlight issue can help that combine a health-promotion goal with decisionmakers respond effectively to the an emphasis on benefits to the individual or current crisis, adapt as it evolves, and chart a combine a disease-prevention goal with an way forward. emphasis on benefits to a broad group of people, such as Americans.
a publication of the behavioral science & policy association iii Eugene Chan presents evidence that health during the COVID-19 crisis. Trust is critical announcements communicated in a low voice during a crisis because it creates a climate for pitch are more persuasive than those delivered constructive problem solving, which helps build in a high pitch. In an experiment using a student organizational agility and resilience. The authors sample from Australia, Chan found that health identify practical ways organizations can shift messages delivered in a low pitch increased employee mindsets so that employees who participants’ sense of power and perceived are feeling overwhelmed or worrying about behavioral control, which ultimately increased losing their jobs can transition to feeling that their likelihood of using hand sanitizer. they understand what is going on, can take action to navigate the crisis, and have a clear A second set of articles focuses on how to understanding of how these actions may help to encourage behaviors meant to prevent the build resilience for the future. spread of COVID-19—especially social distancing and mask wearing—using means beyond health Isabel Bilotta, Shannon K. Cheng, Linnea C. Ng, messaging and communication. Stephen B. Abby R. Corrington, Ivy Watson, Eden B. King, and Broomell, Gretchen B. Chapman, and Julie S. Mikki R. Hebl examine research into perceptions Downs report that whether people practice of justice to offer behavioral science–backed social distancing, respiratory hygiene (such policy recommendations that managers can use as handwashing and coughing into a tissue), to buffer some of the negative effects that layoffs or mask wearing is strongly predicted by the have on both employees and organizations. practice’s perceived effectiveness in preventing The authors recommend that organizations COVID-19 (and moderately predicted by anxiety communicate clearly about how they will about COVID-19 and perceived behavioral provide support and resources to their laid-off norms). These findings imply that success at employees (distributive justice), deliver layoff shifting perceptions of effectiveness may be decisions in a transparent and logical manner critical for behavior change. The authors offer (procedural justice), and demonstrate concern policy suggestions for how to boost perceptions for their employees’ well-being (interactional of effectiveness, such as by highlighting that justice). certain behaviors are the norm. Ellen Ernst Kossek and Kyung-Hee Lee argue Hilde Mobekk and Laila Stokke tested two that the COVID-19 crisis provides an opportunity nudges to increase hand sanitizer use. One to improve U.S. employment policy on work–life involved a strategically placed dispenser with a balance. The authors propose three evidence- sign emphasizing that hand sanitizer use is the based national initiatives to support work– norm (“Here we use HAND DISINFECTANT”), life balance: paid sick leave and family leave, and the other was identical except that it also emergency backup staffing, and the legal right included an altruistic motive (“Here we use HAND to request flexible work schedules. Matthew DISINFECTANT . . . to protect your relatives”). Both B. Perrigino and Roshni Raveendhran offer nudges increased hand sanitizer use compared managers actionable insights into how they can with a control condition involving dispensers assess, create, and support work-from-home without a sign, although the altruistic motive did practices that address employees’ challenges in not boost compliance beyond the level generated managing work–home boundaries. by the sign emphasizing the norm. In the final article relating to organizations, Vicki Several articles highlight strategies that Whiting, Brian Wierman, and Phillip Whiting organizations and managers can apply to adapt make the case that U.S. Air Force Special Ops to the current crisis. Nicole Gillespie, Rosalind Command (AFSOC) pararescue teams offer a Searle, Stefanie Gustafsson, and Veronica model of best practices that could be adapted by Hope Hailey draw on research into employee other organizational leaders during the COVID- trust to outline how to preserve—or even 19 crisis. For example, AFSOC teams understand enhance—employees’ trust in their organization that operating effectively in situations of
iv behavioral science & policy | volume 6 issue 2 2020 uncertainty and complexity requires time for Ovul Sezer, and Nadav Klein review evidence on the reflection and clear, accountable leadership. negative effects of loneliness and offer behavioral science–based suggestions on how to build and A fourth subset of articles focuses on issues enhance social connections despite social (or, as relating to racism, gender, and community. Mikki they put it, physical) distancing. The authors also Hebl, Abby Corrington, Linnea C. Ng, Ivy Watson, discuss how governments and organizations can Isabel Bilotta, Shannon K. Cheng, and Eden King help motivate people to adopt these practices in describe the increase in discrimination that ways that balance the risks posed by COVID-19 Asian communities have experienced since the against those posed by loneliness. pandemic’s onset. The authors suggest policies that organizations can implement to protect Christina K. Zigler, Nicole Lucas, Debra M. their Asian employees and customers. Henke, and Ilona Fridman report results from a nationwide survey investigating how emotional Irmak Olcaysoy Okten, Anton Gollwitzer, factors, including anxiety, affect compliance with and Gabriele Oettingen present three studies the protective behaviors recommended by the demonstrating that women practice more U.S. Centers for Disease Control and Prevention. COVID-19 preventive behaviors than men do. The authors find a positive association between In Study 1, women self-reported engaging in anxiety, perceived risk, and compliance with more social distancing and hygiene practices. In hygiene behaviors such as handwashing Study 2, a greater percentage of women were (but not with social distancing behaviors). observed wearing face masks in public. In Study They recommend that policymakers monitor 3, which presented correlational evidence, U.S. emotional reactions toward communications counties with a greater percentage of women to better understand when those reactions are exhibited greater social distancing as tracked helpful and when they are counterproductive. by geolocation data from about 15 million GPS smartphones per day. The authors offer The final two articles consider the importance suggestions for targeting preventive health of learning from the experiences of others. messages to men to maximize their compliance. Christopher G. Myers argues that health professionals need to learn vicariously—that Timothy R. Hannigan, Milo Shaoqing Wang, is, learn from others’ experiences—to adopt Christopher W. J. Steele, Marc-David L. Seidel, Ed best practices for pandemic care and avoid Cervantes, and P. Devereaux Jennings present costly mistakes. Meyers outlines ways that a community-based sociocultural network leaders and policymakers can use technology approach to addressing COVID-19 contagion. and social media to improve vicarious learning The authors suggest that researchers and among health professionals. Ning Zhang shares policymakers use social units (like households) practices that China used to successfully contain as the unit of interest and conceive of the COVID-19 to help other countries learn from social units as being part of a larger community China’s experience. within a regional or national culture. Using this approach to modeling the spread of COVID-19, The varied entries in this special issue speak to the authors present simulation results and offer several critical aspects of the pandemic. We suggestions tailored for analysts, policymakers, hope that decisionmakers can draw insights and and practitioners. ideas from the nuanced, complex picture that emerges and can use the tools that these articles Mental health during the pandemic is addressed provide to shape public policy and managerial by two articles, which approach the issue from responses to the pandemic and to adapt different angles. Kelly A. Nault, Benjamin A. Rogers, effectively as the outbreak continues to unfold.
Jehan Sparks, Gretchen Chapman, Thomas D’Aunno, Jason Doctor, George Loewenstein, & Mitesh Patel Spotlight Editors
a publication of the behavioral science & policy association v proposal
Communicating about diseases that originate in animals: Lessons from the psychology of inductive reasoning Tyler Davis, Mark LaCour, Micah Goldwater, Brent Hughes, Molly E. Ireland, Darrell A. Worthy, Nick Gaylord, & Jason Van Allen
abstract * Many emerging diseases (diseases that are increasing or likely to increase in prevalence) are zoonotic: that is, transmitted between animals and people. Behavioral science researchers have only begun to examine how health communications influence the public’s response to zoonotic diseases. In this article, we discuss how cognitive research on inductive reasoning—that is, on how people make generalizations from evidence— might be leveraged to craft public health communications that most effectively encourage people to engage in behaviors that limit the spread of zoonotic diseases, including COVID-19. Before describing the relevant research, we present experimental data demonstrating that the way communications describe the animal source of a zoonotic disease can affect how people generalize from the information to infer whether other animals may be susceptible, what their own risks are, and what actions they should take to limit disease transmission. We then propose various strategies that public health communicators can enact to encourage broad or narrow generalization, depending on the target audience and the context.
Davis, T., LaCour, M., Goldwater, M., Hughes, B., Ireland, M. E., Worthy, D. A., Gaylord, N., & Van Allen, J. (2020). Communicating about diseases that originate in animals: Lessons from the psychology of inductive reasoning. Behavioral Science & Policy 6(2), 1–11. Retrieved from https://behavioralpolicy.org/journal_issue/covid-19/
a publication of the behavioral science & policy association 1 n January 2020, after the first cases of hosts, people may think, “This is just a foreign COVID-19 were identified in the United States, snake problem that’s not relevant to people like Imany media outlets reported that the coro- me.” Indeed, in a March press briefing, Senator navirus responsible for the disease possibly John Cornyn promoted this kind of thinking originated in an animal; some speculated that the when he described the pandemic as being likely source was snakes, such as Chinese cobras related to certain Chinese culinary practices, or kraits.1 As of this writing, the virus’s origin such as eating exotic snakes, while neglecting remains unknown, although evidence indicates to mention that the risk of catching a variety of that it may have spread from bats to humans, diseases from animals is not restricted to China possibly via pangolins (scaly anteaters).2,3 and, further, that snakes are also prepared as food in his home state of Texas.5 COVID-19’s possible link to animals raises the question of how communications that discuss It should also be kept in mind that longer or the animal, or zoonotic, origin of a new disease more information-dense communications that can affect people’s behavioral responses to the require more effort to process tend to be read threats posed by the disease. Specifically, how less attentively.6 Further, messages that list do reports of the animal origins of COVID-19 every potential source of infection can cause affect responses to the current pandemic? After economic harm if people then mistakenly reading about Chinese cobras being a possible generalize from the animals listed to econom- COVID-19 vector, for instance, do people ically important animals that are unlikely to be assume that many other species of snakes also carriers. For example, given that many animal pose a risk and thus shun all snakes, or do they species are potential carriers of coronaviruses, avoid only Chinese cobras? communications could, in theory, enumerate all possible sources of COVID-19, including cattle Answering such questions is critical for deter- and pigs; however, if these species are unlikely mining how governmental and public health to be sources of the disease, such thoroughness leaders can craft messages that will convince may create unnecessary fear of animals that are the public to take appropriate actions to limit important sources of food.6 the spread of COVID-19 and other zoonotic diseases, or zoonoses. As many as 60% of Generalizing from a known situation to another emerging diseases—diseases that are increasing situation is termed inductive reasoning. Rela- or likely to increase in prevalence—originate tively little research has been conducted on the in animals.4 How such origins are described, risk-related generalizations people make from in terms of which animals are said to carry the communications about zoonotic diseases, but infection and which practices are highlighted as clues can be gleaned from extensive cogni- potential methods of transmission from animals tive psychology research into category-based to humans, influences the public’s perception of induction, the cognitive processes people use their own risks, of which animals can play a role to generalize from their knowledge of proper- in transmission, and of what actions should be ties of some category members (such as bats) taken to protect themselves and others. and infer that other members of the category (such as animals or mammals) have the same A key factor influencing these perceptions is properties. the extent to which people generalize from the information delivered in communications. For Although not intended to inform public health instance, highlighting exotic (nonnative) species research per se, category-based inductive such as pangolins or rare snakes as potential reasoning research on judgments of interspe- coronavirus hosts could lead the public to infer cies disease transmission has been conducted that few species can transmit COVID-19 and to for decades.7,8 Interspecies disease transmission conclude that their own risk of contracting the makes a compelling test bed for scientific theo- disease is low. That is, if only snakes from faraway ries of inductive reasoning because of the many lands are identified as possibly being coronavirus complex ways people can reason about diseases.
2 behavioral science & policy | volume 6 issue 2 2020 Research has shown, for instance, that people to humans from a range of animal species (see with expert knowledge about a topic differ from the Supplemental Material for full methods nonexperts in the way they reason about the and results). It can be contracted by working topic. People with rich, in-depth knowledge of outdoors or with infected animals, swimming or wildlife generalize from real-world knowledge wading in contaminated waters, and interacting about disease ecology (how the environment with infected pets.13,14 We recruited 153 partici- influences disease spread) and epidemiology (the pants from Amazon’s Mechanical Turk (see Table determinants of a disease’s spread in a popula- 1 for demographics) to read communications tion) to infer the likelihood that a given disease about leptospirosis that mentioned a few poten- will move readily from one organism to another tial sources of the bacterium. The participants in a particular environment.9,10 For example, then answered questions about which other because tuna preys on and shares territory with species (not described in the original message) herring, a marine biologist or seasoned fish- might be susceptible to leptospirosis and erman may reason that tuna are susceptible to whether it would be safe to interact with and diseases that afflict herring.11 In contrast, nonex- swim in water near the animals’ habitats. The perts, lacking sophisticated knowledge, tend to only difference across conditions in our study make judgments based on intuition or superficial was that half of the participants were randomly perceptions of similarity.8 For instance, a typical assigned to read that common domesticated, member of the general public, knowing that birds or farm, animals (“pigs, cattle, and horses”) were and bats both have wings, is more likely than a potential sources of leptospirosis, whereas the biologist to infer that bats (which are mammals) other participants read about wild, or forest, are more susceptible to bird diseases than are animals (“rats, raccoons, and deer”). Otherwise, mammals that lack wings.12 Table 1. Participant demographics In this article, we briefly summarize research that offers insight into how communications Demographic category M (SD) n (%) about the causes of zoonotic diseases, including Age in years 35.9 (10.9) COVID-19, affect people’s beliefs about the Sex dangers posed by those diseases and the behav- Male 84 (52.2%) iors they should perform to prevent contracting Female 76 (47.2%) or transmitting infection. This research includes Prefer not to say 1 (0.6%) a report on a new study we conducted that is Ethnicity not about COVID-19 but illustrates the influence Asian American 12 (7.5%) of category-based induction on how people Black or African American 6 (3.7%) reason about risks when they read communica- Hispanic 7 (4.3%) tions about zoonotic diseases. We then highlight Native American or Alaskan Native 1 (0.6%) research into generalization that is relevant to White or Caucasian American 132 (82%) the public’s interpretation of health communi- Other/prefer not to say 3 (1.9%) cations and conclude by proposing ways that Education policymakers can tailor public health messages High school diploma 18 (11.2%) to prompt desired generalizations and avoid Some college 67 (41.6%) undesirable ones. We begin with the description College degree 65 (40.4%) of our study and its findings. Some postgraduate work 3 (1.9%) Postgraduate degree 8 (5.0%)
Political orientation Our Experiment Very liberal 26 (16.1%) Somewhat liberal 61(37.8%) Method & Results Neither liberal nor conservative 35 (21.7%) Somewhat conservative 29 (18.0%) Our study focused on communications about Very conservative 10 (6.2 %) leptospirosis, a bacterial infection that is common throughout the world and can spread Note. SD = standard deviation.
a publication of the behavioral science & policy association 3 the communications were worded the same could potentially affect health (see Figure 2). way, and both emphasized that “many mammals Participants who generalized most from the can be reservoirs for human infection.” farm animal passage and gave farm animals the highest ratings for susceptibility to leptospirosis The participants’ judgments about whether also gave the lowest safety ratings to swimming animals not described in the original message or wading near or interacting with farm animals (dogs, sheep, donkeys, goats, rabbits, opos- (swimming r = −.276, p < .001; interacting r = sums, and skunks) were susceptible to −.202, p = .012). The same pattern occurred in leptospirosis tracked with the judgments that ratings of forest animals’ susceptibility to lepto- would be expected if participants were general- spirosis and ratings of the safety of swimming or izing on the basis of the property of ecological wading near and interacting with forest animals similarity (that is, perceived similarity of the (swimming r = −.331, p < .001; interacting r = animals’ habitats; see Figure 1). Reading about −.256, p = .001). farm animal susceptibility led to greater gener- alization to other farm animals, t(151) = 3.004, Discussion p = .003 (dogs, sheep, donkeys, and goats), and Our results are consistent with the predictions reading about forest animal susceptibility led to of research on category-based induction: When greater generalization to other forest animals, people read communications about the risks of t(151) = 2.532, p = .012 (rabbits, opossums, and acquiring an infection from a specific species, skunks). (See note A for information about the they are more likely to generalize from that statistics mentioned in this article.) information to infer that species that are related in some way (such as in terms of their ecology) Further, the participants’ generalizations affected will pose the same threat. The similarity does their perceptions of the safety of behaviors that not need to be real for such generalization to