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Meta-Analytic Results for Rigidity Domain and Ideology Domain
Source publication
The rigidity-of-the-right hypothesis (RRH), which posits that cognitive, motivational, and ideological rigidity resonate with political conservatism, is an influential but controversial psychological account of political ideology. Here, we leverage several methodological and theoretical sources of this controversy to conduct an extensive quantitati...
Contexts in source publication
Context 1
... disagreements were resolved by discussion. An overview of included citations, study characteristics, and effect sizes is provided in Supplemental Table S1, and the full meta-analytic data set is provided at https://osf .io/uqexj/. ...Context 2
... 2 = 5.35; I 2 (2) = 55% and I 2 (3) = 34%, such that σ = .12. Table 1 presents estimated effect sizes, alongside 95% confidence intervals, 95% prediction intervals, ks, Ns, p values, and within-construct heterogeneity statistics. ...Context 3
... rigidity constructs were statistically significantly related to political conservatism (see Table 1), yet main effect sizes were uniformly and, in some cases, substantially smaller than previously reported estimates (e.g., the most recent prior meta-analytic estimate for cognitive inflexibility was r = .38, see Jost, 2017; our estimate was β = .07). ...Citations
In this chapter, I review key conceptual and methodological sources of bias in psychological measurement, emphasizing those with particular relevance to political phenomena and providing relevant examples of measurement bias in political psychological research. I then review the case of authoritarianism, which until recently was predominantly assessed among political conservatives. This emphasis on right-wing authoritarianism and the paucity of research concerning left-wing authoritarianism have led to widespread conceptual obstacles to understanding the psychological underpinnings of authoritarianism, illustrating the degree to which measurement bias has key implications for theory development and testing. In closing, I provide several recommendations for reducing political bias in psychological measurement.
