works
Jennifer S. Lerner and Philip E. Tetlock Bridging Individual, Interpersonal, and Institutional Approaches to Judgment and Decision Making: The Impact of Accountability on Cognitive Bias incollection Research on accountability takes an unusual approach to the study of judg- ment and decision making. By situating decision makers within particular accountability conditions, it has begun to bridge individual, interpersonal, and institutional levels of analysis. We propose that this multilevel ap- proach can enhance both the study of judgment and choice and the appli- cation of such research to real-world settings. To illustrate the multilevel approach, we present a review of accountability research, organized around an enduring question in the literature: Under what conditions will ac- countability improve judgment and decision making? After considering the shortcomings of two seemingly straightforward answers to this ques- tion, we propose a multifactor framework for predicting when accountabil- ity attenuates bias, when it has no effect, and when it makes matters even worse. Key factors in this framework draw from multiple levels of analysis.

Bridging Individual, Interpersonal, and Institutional Approaches to Judgment and Decision Making: The Impact of Accountability on Cognitive Bias

Jennifer S. Lerner and Philip E. Tetlock

In Sandra L. Schneider and James Shanteau (eds.) Emerging Perspectives on Judgment and Decision Research, 2003, pp. 431--457

Abstract

Research on accountability takes an unusual approach to the study of judg- ment and decision making. By situating decision makers within particular accountability conditions, it has begun to bridge individual, interpersonal, and institutional levels of analysis. We propose that this multilevel ap- proach can enhance both the study of judgment and choice and the appli- cation of such research to real-world settings. To illustrate the multilevel approach, we present a review of accountability research, organized around an enduring question in the literature: Under what conditions will ac- countability improve judgment and decision making? After considering the shortcomings of two seemingly straightforward answers to this ques- tion, we propose a multifactor framework for predicting when accountabil- ity attenuates bias, when it has no effect, and when it makes matters even worse. Key factors in this framework draw from multiple levels of analysis.

PDF

First page of PDF