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Theory-based explanation as intervention

Overview of attention for article published in Psychonomic Bulletin & Review, January 2017
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Title
Theory-based explanation as intervention
Published in
Psychonomic Bulletin & Review, January 2017
DOI 10.3758/s13423-016-1207-2
Pubmed ID
Authors

Kara Weisman, Ellen M. Markman

Abstract

Cogent explanations are an indispensable means of providing new information and an essential component of effective education. Beyond this, we argue that there is tremendous untapped potential in using explanations to motivate behavior change. In this article we focus on health interventions. We review four case studies that used carefully tailored explanations to address gaps and misconceptions in people's intuitive theories, providing participants with a conceptual framework for understanding how and why some recommended behavior is an effective way of achieving a health goal. These case studies targeted a variety of health-promoting behaviors: (1) children washing their hands to prevent viral epidemics; (2) parents vaccinating their children to stem the resurgence of infectious diseases; (3) adults completing the full course of an antibiotic prescription to reduce antibiotic resistance; and (4) children eating a variety of healthy foods to improve unhealthy diets. Simply telling people to engage in these behaviors has been largely ineffective-if anything, concern about these issues is mounting. But in each case, teaching participants coherent explanatory frameworks for understanding health recommendations has shown great promise, with such theory-based explanations outperforming state-of-the-art interventions from national health authorities. We contrast theory-based explanations both with simply listing facts, information, and advice and with providing a full-blown educational curriculum, and argue for providing the minimum amount of information required to understand the causal link between a target behavior and a health outcome. We argue that such theory-based explanations lend people the motivation and confidence to act on their new understanding.

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The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Master 11 14%
Student > Bachelor 6 8%
Researcher 6 8%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 23 29%
Readers by discipline Count As %
Psychology 15 19%
Social Sciences 8 10%
Medicine and Dentistry 6 8%
Nursing and Health Professions 3 4%
Computer Science 2 3%
Other 13 17%
Unknown 31 40%