Weather Climate and Society · 2021 · 44 citations · 27 references
Social SciencesSocial PsychologyPersuasionRisk CommunicationRisk PerceptionHazard PerceptionProtective Action CommunicationProtective Action GuidanceProtective BehaviorWarning StatementsWarning SystemsBehavioral Response To Hazard WarningsBehavioral Response To Risk MessagesExperimental Study DesignProtective Action IntentionPublic Warning CommunicationResponse EfficacyTornado Warning CommunicationWarning Message Persuasiveness
Abstract Effective warning messages should tell people what they should do, how they should do it, and how to maximize their health and safety. Guidance essentially delivers two types of information: 1) information that instructs people about the actions to take in response to a threat, and 2) information about how and why these recommended protective actions will reduce harm. However, recent research reported that while automated tornado warnings, sent by the National Weather Service Storm Prediction Center via the account @NWStornado on Twitter, included useful information about the location of the threat, the potential impacts, and populations at risk, it failed to provide content that would contribute to successful protective actions. In this experimental study we investigate how the inclusion and presentation of protective action guidance affects participant perceptions of a tornado warning message and their perceived ability to act upon the information (i.e., self- and response-efficacy). We find that the inclusion of protective action guidance results an increase in the participants’ understanding of the message, their ability to decide what to do, and their perceived self- and response-efficacy. Knowing how to take action to protect oneself, and believing the actions will make oneself safe, are key motivators to taking action when faced with a significant threat. Future warning research should draw from other persuasive messaging and health behavior theories, and should include self- and response- efficacy as important causal factors. It should also look across additional hazards to determine if these outcomes differ by the length of forewarning and hazard type.
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Statistical Power Analysis for the Behavioral Sciences
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