On the reliability of individual economic rationality measurements

Author:

Nitsch Felix J.123ORCID,Lüpken Luca M.1ORCID,Lüschow Nils1ORCID,Kalenscher Tobias1ORCID

Affiliation:

1. Comparative Psychology, Institute of Experimental Psychology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany

2. Marketing Area, INSEAD, Fontainebleau, France

3. Control-Interoception-Attention Team, Paris Brain Institute, INSERM U 1127, CNRS UMR 7225, Sorbonne University, Paris, France

Abstract

A contemporary research agenda in behavioral economics and neuroeconomics aims to identify individual differences and (neuro)psychological correlates of rationality. This research has been widely received in important interdisciplinary and field outlets. However, the psychometric reliability of such measurements of rationality has been presumed without enough methodological scrutiny. Drawing from multiple original and published datasets (in total over 1,600 participants), we unequivocally show that contemporary measurements of rationality have moderate to poor reliability according to common standards. Further analyses of the variance components, as well as a allowing participants to revise previous choices, suggest that this is driven by low between-subject variance rather than high measurement error. As has been argued previously for other behavioral measurements, this poses a challenge to the predominant correlational research designs and the search for sociodemographic or neural predictors. While our results draw a sobering picture of the prospects of contemporary measurements of rationality, they are not necessarily surprising from a theoretical perspective, which we outline in our discussion.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pre-acquired functional connectivity predicts choice inconsistency;The Journal of Neuroscience;2024-03-20

2. Improving the Reliability of Cognitive Task Measures: A Narrative Review;Biological Psychiatry: Cognitive Neuroscience and Neuroimaging;2023-08

3. Individual differences in computational psychiatry: A review of current challenges;Neuroscience & Biobehavioral Reviews;2023-05

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