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PersonalityMap | Explore 1 million human correlations spanning personality, demographics, behaviors, psychology, and beliefs | Generally speaking, do you think that the churches (or religious authorities) in your country are giving adequate answers to people's spiritual needs?
PersonalityMap | Explore 1 million human correlations spanning personality, demographics, behaviors, psychology, and beliefs | Generally speaking, do you think that the churches (or religious authorities) in your country are giving adequate answers to people's spiritual needs?
Tool for finding psychology correlations across public studies
·personalitymap.io·
PersonalityMap | Explore 1 million human correlations spanning personality, demographics, behaviors, psychology, and beliefs | Generally speaking, do you think that the churches (or religious authorities) in your country are giving adequate answers to people's spiritual needs?
Toward Parsimony in Bias Research: A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases - Aileen Oeberst, Roland Imhoff, 2023
Toward Parsimony in Bias Research: A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases - Aileen Oeberst, Roland Imhoff, 2023
Here we argue that several—so far mostly unrelated—biases (e.g., bias blind spot, hostile media bias, egocentric/ethnocentric bias, outcome bias) can be traced back to the combination of a fundamental prior belief and humans’ tendency toward belief-consistent information processing. What varies between different biases is essentially the specific belief that guides information processing. More importantly, we propose that different biases even share the same underlying belief and differ only in the specific outcome of information processing that is assessed (i.e., the dependent variable), thus tapping into different manifestations of the same latent information processing.
·journals.sagepub.com·
Toward Parsimony in Bias Research: A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases - Aileen Oeberst, Roland Imhoff, 2023