The Impact of Social Distance on Mask Wearing Behavior A Construal Level Perspective
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Objectives This study investigates the relationship between the perceived social distance, risk perception, and mask-wearing intentions. It further tests the interaction effect between the social distance perception and message intervention framed by two distinctive construal level terms (high-level and low-level) on mask-wearing intentions. Methods The first survey interrogates what delineates the most relevant social distance dimension that presumably feeds judgments about susceptibility to COVIDᐨ19. It is followed by a 2 X 2 factorial survey experiment (between groups) that examined the reciprocal effect of social distance and construal level (CLT) on behavioral intentions to wear a face mask as a COVIDᐨ19 preventive measure. Results Our finding substantiates social distance perception and its influence on the perceived susceptibility to COVIDᐨ19 and how social distance and construal level interact with one another to impact the individuals' willingness to wear a face mask. Conclusions The results suggest how policymakers and health campaign planners apply construal level framing to moderate the effect of social distance perception on preventive health behaviors.
Abstract
Objectives This study investigates the relationship between the perceived social distance, risk perception, and mask-wearing intentions. It further tests the interaction effect between the social distance perception and message intervention framed by two distinctive construal level terms (high-level and low-level) on mask-wearing intentions. Methods The first survey interrogates what delineates the most relevant social distance dimension that presumably feeds judgments about susceptibility to COVIDᐨ19. It is followed by a 2 X 2 factorial survey experiment (between groups) that examined the reciprocal effect of social distance and construal level (CLT) on behavioral intentions to wear a face mask as a COVIDᐨ19 preventive measure. Results Our finding substantiates social distance perception and its influence on the perceived susceptibility to COVIDᐨ19 and how social distance and construal level interact with one another to impact the individuals' willingness to wear a face mask. Conclusions The results suggest how policymakers and health campaign planners apply construal level framing to moderate the effect of social distance perception on preventive health behaviors.
참고문헌 (38)
- Boroditsky, L., "Metaphoric structuring : Understanding time through spatial metaphors", Cognition, 75(1), pp.1~28 (2000)
- Buhrmester, M., "Amazon’s Mechanical Turk : A new source of inexpensive, yet high-quality, data?", Perspectives on Psychological Science, 6(1), pp.3~5 (2011)
- Caputo, N. M., "Narrative processing of entertainment media and mental illness stigma", Health Communication, 26, pp.595~604 (2011)
- "People at increased risk" (2021)[URL]
- Chandran, S., "When a day means more than a year : Effects of temporal framing on judgments of health risk", Journal of Consumer Research, 31(2), pp.375~389 (2004)
- Ebert, J. E. J., "Self-sympathy in the short-term : Self-other differences in long-term benefits and short-term costs", Advances in Consumer Research, 32, pp.182~183 (2005)
- Eyal, T., "The pros and cons of temporally near and distant action", Journal of Personality and Social Psychology, 86(6), pp.781~ (2004)
- Gattig, A., "Judgmental discounting and environmental risk perception : Dimensional similarities, domain differences, and implications for sustainability", Journal of Social Issues, 63(1), pp.21~39 (2007)
- Hopfer, S., "Effects of a narrative HPV vaccination intervention aimed at reaching college women : A randomized controlled trial", Prevention Science, 13, pp.173~182 (2011)
- "Many Americans believe they have little chance of being infected with coronavirus" (2020)[URL]
- Kim, D. H., "‘How do you feel about a disease?’ The effect of psychological distance towards a disease on health communication", International Journal of Advertising, 38(1), pp.139~153 (2019)
- Kim, H., "It's time to vote : The effect of matching message orientation and temporal frame on political persuasion", Journal of Consumer Research, 35(6), pp.877~889 (2009)
- Leppin, A., "Risk perceptions related to SARS and avian influenza : theoretical foundations of current empirical research", International Journal of Behavioral Medicine, 16(1), pp.7~29 (2009)
- Liberman, N., "The psychology of transcending the here and now", Science, 322(5905), pp.1201~1205 (2008)
- Liviatan, I., "Interpersonal similarity as a social distance dimension : Implications for perception of others’actions", Journal of Experimental Social Psychology, 44(5), pp.1256~1269 (2008)
- Lutchyn, Y., "Construal level theory and theory of planned behavior : Time frame effects on salient belief generation", Journal of Health Communication, 16(6), pp.595~606 (2011)
- Ma, Z., "Friends don’t let friends smoke : How storytelling and social distance influence nonsmokers’ responses to antismoking messages", Health Communication, 33(7), pp.887~895 (2017)
- Mason, W., "Conducting behavioral research on Amazon’s Mechanical Turk", Behavior Research Methods, 44(1), pp.1~23 (2012)
- Monestel-Umaña, S., "Applying the construal level theory to improve oral self-care behavior : A pilot study", Journal of Communication in Healthcare, 8(2), pp.134~142 (2015)
- Moore, S. M., "Venturesomeness, impulsiveness, and risky behavior among older adolescents", Perceptual and Motor Skills, 76(1), pp.98~98 (1993)
- Mussweiler, T., "When egocentrism breeds distinctness--Comparison processes in social prediction : Comment on Karniol(2003)", Psychological Review, 110(3), pp.581~584 (2003)
- Myrick, J. G., "Mixed Methods Inquiry into the Role of Tom Hanks’COVID-19 Social Media Disclosure in Shaping Willingness to Engage in Prevention Behaviors", Health Communication, pp.1~9 (2021)
- Nan, X., "Social Distance, framing, and judgment : A construal level perspective", Human Communication Research, 33(4), pp.489~514 (2007)
- Nabi, R. L., "The role of a narrative's emotional flow in promoting persuasive outcomes", Media Psychology, 18(2), pp.137~162 (2015)
- "Trump’s “Chinese Virus” and what’s at stake in the Coronavirus’s name" (2020)[URL]
- Pittam, J., "Malevolence, stigma, and social distance : Maximizing intergroup differences in HIV", AIDS discourse, 2000, pp.28(1), 24~43
- Preacher, K. J., "SPSS and SAS procedures for estimating indirect effects in simple mediation models", Behavior Research Methods, Instruments, & Computers, 36(4), pp.717~731 (2004)
- "New April Guidelines Boost Perceived Efficacy of Face Masks" (2020)[URL]
- Rosenstock, I. M., "The health belief model and preventive health behavior", Health Education Monographs, 2(4), pp.39~63 (1974)
- So, J., "Reduction of perceived social distance as an explanation for media's influence on personal risk perceptions : A test of the risk convergence model", Human Communication Research, 39(3), pp.317~338 (2013)
- Sukeri, S., "Perceived severity and susceptibility towards leptospirosis infection in Malaysia", International Journal of Environmental Research and Public Health, 17(6232), pp.6362, 1~6362, 10 (2020)
- Trope, Y., "Temporal construal", Psychological Review, 110(3), pp.403~ (2003)
- Trope, Y., "Temporal construal and time-dependent changes in preference", Journal of Personality and Social Psychology, 79(6), pp.876~ (2000)
- Trope, Y., "Construal-level theory of psychological distance", Psychological Review, 117(2), pp.440~463 (2010)
- "WHO warns young people are emerging as main spreaders of the coronavirus" (2020)[URL]
- Xu, P., "Individual Differences in Social Distancing and Mask-Wearing in the Pandemic of COVID-19 : The Role of Need for Cognition, Self-control and Risk Attitude", Personality and Individual Differences, 175, pp.1~8 (2021)
- Yanovitzky, I., "Social distance, perceived drinking by peers, and alcohol use by college students", Health Communication, 19(1), pp.1~10 (2006)
- Young, R., "Source similarity and social media health messages: Extending construal level theory to message sources", Cyberpsychology, Behavior, and Social Networking, 18(9), pp.547~551 (2015)