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      Are you working on research related to technology and human behavior? Are you exploring the impact of social media, artificial intelligence, virtual reality, gaming, and more? If so, we invite you to submit your manuscript to Technology, Mind, and Behavior, an open access journal from the American Psychological Association..

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      On Efficient Mass-Media Messages During the COVID-19 Pandemic: The Role of Expertise and Expressed Social Identity

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          Abstract

          The Coronavirus disease (COVID-19) pandemic requires swift behavior change based on the most up-to-date recommendations. To reach many people, the use of mass media and technology is key. We therefore investigate how health advice in the media can most effectively change behavioral intentions. Specifically, we integrate the literature on science rejection and on intergroup criticism to argue that people are likely to follow expert advice, but only if these experts communicate a common group identity (“we”). Our preregistered and high-powered experiment showed weak support for these registered hypotheses. Exploratory moderation analyses including trust in science and political orientation produced inconsistent results. Exploratory mediation analyses showed a consistent positive impact of rated expertise on intention to comply and perceived inadequacy of public response, mediated by message motive ratings. Health experts or public figures who communicate health-advice in the media should thus clarify their expertise and intention. We discuss implications and future directions.

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          Most cited references45

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

            G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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              Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

              G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                January 5, 2022
                : 3
                : 1
                Affiliations
                [1]Department of Psychology, Paris-Lodron University Salzburg
                [2]Department of Psychology, University of Wyoming
                Author notes
                Special Collection Editors: C. Shawn Green, Nicholas David Bowman, and Tobias Greitemeyer.
                Action Editor: Nick Bowman was the action editor for this article.
                Disclosures: We do not have any interests that may be interpreted as influencing the reported research and APA ethical standards were be followed in conducting the experiment.
                Our preregistration is available under https://aspredicted.org/mz96q.pdf and materials and analyses are available under https://osf.io/ex42g/ ( Thürmer & McCrea, 2021b).
                Open Science Disclosures:

                The data are available at https://osf.io/ex42g/

                The experiment materials are available at https://osf.io/ex42g/

                The preregistered design is available at https://aspredicted.org/mz96q.pdf

                [*] J. Lukas Thürmer, Department of Psychology, Paris-Lodron University Salzburg, Hellbrunner Straße 34, Salzburg 5020, Austria lukas.thuermer@sbg.ac.at
                Author information
                https://orcid.org/0000-0002-5315-2847
                https://orcid.org/0000-0003-4241-5530
                Article
                2022-17935-001
                10.1037/tmb0000052
                6e879f01-609e-4c29-a0a8-3234adfb9a04
                © 2022 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History
                Categories
                TECHNOLOGY IN A TIME OF SOCIAL DISTANCING

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                self-defensiveness,Coronavirus: COVID-19 and SARS-COV-2,intergroup sensitivity effect,motivation/goals

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