Abstract: Baron and Jost (this issue) present three critiques of our meta-analysis demonstrating similar levels of partisan bias in liberals and conservatives: 1) that the studies we examined were biased toward finding symmetrical bias among liberals and conservatives, 2) that the studies we examined do not measure partisan bias but rather rational Bayesian updating, and 3) that social psychology is not biased in favor of liberals but biased instead toward creating false equivalencies. We respond in turn that: 1) the included studies covered a wide variety of issues at the core of contemporary political conflict and fairly compared bias by establishing conditions under which both liberals and conservatives would have similar motivations and opportunity to demonstrate bias, 2) we carefully selected studies that were least vulnerable to Bayesian counterexplanation and most scientists and laypeople consider these studies demonstrations of bias, and 3) there is reason to be vigilant about liberal bias in social psychology, but this does not preclude concern about other possible biases, all of which threaten good science. We close with recommendations for future research and urge researchers to move beyond broad generalizations of political differences that are insensitive to time and context.
Response to False Equivalence: Are Liberals and Conservatives in the U.S. Equally “Biased”? Jonathan Baron and John T. Jost. Invited Revision, Perspectives on Psychological Science,
Abstract: On the basis of a meta-analysis of 51 studies, Ditto, Liu, Clark, Wojcik, Chen, et al. (2018) conclude that ideological “bias” is equivalent on the left and right of U.S. politics. In this commentary, we contend that this conclusion does not follow from the review and that Ditto and colleagues are too quick to embrace a false equivalence between the liberal left and the conservative right. For one thing, the issues, procedures, and materials used in studies reviewed by Ditto and colleagues were selected for purposes other than the inspection of ideological asymmetries. Consequently, methodological choices made by researchers were systematically biased to avoid producing differences between liberals and conservatives. We also consider the broader implications of a normative analysis of judgment and decision-making and demonstrate that the “bias” examined by Ditto and colleagues is not, in fact, an irrational bias, and that it is incoherent to discuss bias in the absence of standards for assessing accuracy and consistency. We find that Jost’s (2017) conclusions about domain-general asymmetries in motivated social cognition, which suggest that epistemic virtues are more prevalent among liberals than conservatives, are closer to the truth of the matter when it comes to current American politics. Finally, we question the notion that the research literature in psychology is necessarily characterized by “liberal bias,” as several authors have claimed.
Here is the end:
If academics are disproportionately liberal—in comparison with society at large—it just might be due to the fact that being liberal in the early 21st century is more compatible with the epistemic standards, values, and practices of academia than is being conservative.
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