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- Dreber Almenberg, Anna, et al.
(författare)
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Is research in social psychology politically biased? Systematic empirical tests and a forecasting survey to address the controversy
- 2018
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Ingår i: Journal of Experimental Social Psychology. - : Elsevier. - 1096-0465 .- 0022-1031. ; 79:november, s. 188-199
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Tidskriftsartikel (refereegranskat)abstract
- The present investigation provides the first systematic empirical tests for the role of politics in academic research. In a large sample of scientific abstracts from the field of social psychology, we find both evaluative differences, such that conservatives are described more negatively than liberals, and explanatory differences, such that conservatism is more likely to be the focus of explanation than liberalism. In light of the ongoing debate about politicized science, a forecasting survey permitted scientists to state a priori empirical predictions about the results, and then change their beliefs in light of the evidence. Participating scientists accurately predicted the direction of both the evaluative and explanatory differences, but at the same time significantly overestimated both effect sizes. Scientists also updated their broader beliefs about political bias in response to the empirical results, providing a model for addressing divisive scientific controversies across fields.
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| 3. |
- Viganola, Domenico, et al.
(författare)
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Datasets from a research project examining the role of politics in social psychological research
- 2018
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Ingår i: Scientific Data. - : Nature Research (part of Springer Nature): Fully open access journals / Nature Publishing Group. - 2052-4463. ; 5
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Tidskriftsartikel (refereegranskat)abstract
- We present four datasets from a project examining the role of politics in social psychological research. These include thousands of independent raters who coded scientific abstracts for political relevance and for whether conservatives or liberals were treated as targets of explanation and characterized in a negative light. Further included are predictions about the empirical results by scientists participating in a forecasting survey, and coded publication outcomes for unpublished research projects varying in political overtones. Future researchers can leverage this corpus to test further hypotheses regarding political values and scientific research, perceptions of political bias, publication histories, and forecasting accuracy.
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