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      Milling and Public Warnings

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          Abstract

          Given the potential of modern warning technology to save lives, discovering whether it is possible to craft mobile alerts for imminent events in a way that reduces people’s tendency to seek and confirm information before initiating protective action is essential. The purpose of this study was to examine the possibility of designing messages for mobile devices, such as Wireless Emergency Alert (WEA) messages, to minimize action delay. The impact of messages with varied amounts of information on respondents’ understanding, believing, personalizing, deciding, and intended milling was used to test Emergent Norm Theory, using quantitative and qualitative methods. Relative to shorter messages, longer public warning messages reduced people’s inclination to search for and confirm information, thereby shortening warning response delay. The Emergent Norm Theory used herein is broader in application than the context-specific models provided by leading warning scholars to date and yields deeper understanding about how people respond to warnings.

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          Most cited references87

          • Record: found
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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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            • Record: found
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            • Book: not found

            Psychometric Theory.

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Perception of risk

              P Slovic (1987)
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                Author and article information

                Journal
                Environment and Behavior
                Environment and Behavior
                SAGE Publications
                0013-9165
                1552-390X
                June 2018
                May 30 2017
                June 2018
                : 50
                : 5
                : 535-566
                Affiliations
                [1 ]California State University, Fullerton, USA
                [2 ]University of Colorado Boulder, USA
                [3 ]University of Colorado Denver, USA
                [4 ]University of Maryland, College Park, USA
                [5 ]University of Kentucky, Lexington, USA
                [6 ]University of Memphis, TN, USA
                Article
                10.1177/0013916517709561
                18521cf7-7d66-4dd2-add1-9244a4b88b62
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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