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      Decoding Science: Development and Evaluation of a Science Communication Training Program Using a Triangulated Framework

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          Abstract

          The authors describe a science communication training called “Decoding Science” and the steps taken to develop and assess program effectiveness. Evaluation is based on a triangulated framework involving feedback from graduate student trainees, faculty trainers, and ordinary citizens who are not specialists in the field. Three cohorts of graduate STEM (science, technology, engineering, math) students participated in the training in Spring 2016 ( N = 18), Fall 2016 ( N = 11), and Spring 2017 ( N = 14). Analysis of these evaluations indicates significant improvements in trainees’ communication of science. We conclude that our triangulated approach can be useful in science communication training.

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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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            Forming inferences about some intraclass correlation coefficients.

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              Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Science Communication
                Science Communication
                SAGE Publications
                1075-5470
                1552-8545
                February 2018
                January 12 2018
                February 2018
                : 40
                : 1
                : 3-32
                Affiliations
                [1 ]University of Missouri, Columbia, MO, USA
                [2 ]The University of Toledo, Toledo, OH, USA
                Article
                10.1177/1075547017747285
                6b88f1bf-49ac-4e97-a4aa-fe93b47b6382
                © 2018

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

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