In a recent article, Amber Boydstun and her colleagues (2019) described a study on the effects of

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In a recent article, Amber Boydstun and her colleagues (2019) described a study on the effects of negativity bias in a political context. Negativity bias is the finding that people’s decisions are more influenced by negatively framed information (e.g., number of jobs lost) than they are by positively framed information (e.g., number of jobs saved). When interpreting their results, Boydstun and colleagues devoted a whole section of their paper to constraints on generalization, in which they discussed various conditions under which they would expect their results to generalize (or not). For example, they said, “We expect that our results would generalize to any sample of U.S. participants below age 50 who identify as Democrat, Republican, or Independent leaning Democrat or Republican.” How does this COG statement help future researchers who are also interested in negativity bias in a political context?

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Statistics For The Behavioral Sciences

ISBN: 9781319190743

5th Edition

Authors: Susan A. Nolan, Thomas Heinzen

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