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Journal ArticleDOI

Norm theory: Comparing reality to its alternatives

Daniel Kahneman, +1 more
- 01 Apr 1986 - 
- Vol. 93, Iss: 2, pp 136-153
TLDR
In this article, a theory of norms and normality is presented and applied to some phenomena of emotional responses, social judgment, and conversations about causes, such as emotional response to events that have abnormal causes, the generation of predictions and inferences from observations of behavior and the role of norms in causal questions and answers.
Abstract
A theory of norms and normality is presented and applied to some phenomena of emotional responses, social judgment, and conversations about causes. Norms are assumed to be constructed ad hoc by recruiting specific representations. Category norms are derived by recruiting exemplars. Specific objects or events generate their own norms by retrieval of similar experiences stored in memory or by construction of counterfactual alternatives. The normality of a stimulus is evaluated by comparing it to the norms that it evokes after the fact, rather than to precomputed expectations. Norm theory is applied in analyses of the enhanced emotional response to events that have abnormal causes, of the generation of predictions and inferences from observations of behavior, and of the role of norms in causal questions and answers. This article is concerned with category norms that represent knowledge of concepts and with stimulus norms that govern comparative judgments and designate experiences as surprising. In the tradition of adaptation level theory (Appley, 1971; Helson, 1964), the concept of norm is applied to events that range in complexity from single visual displays to social interactions. We first propose a model of an activation process that produces norms, then explore the role of norms in social cognition. The central idea of the present treatment is that norms are computed after the event rather than in advance. We sketch a supplement to the generally accepted idea that events in the stream of experience are interpreted and evaluated by consulting precomputed schemas and frames of reference. The view developed here is that each stimulus selectively recruits its own alternatives (Garner, 1962, 1970) and is interpreted in a rich context of remembered and constructed representations of what it could have been, might have been, or should have been. Thus, each event brings its own frame of reference into being. We also explore the idea that knowledge of categories (e.g., "encounters with Jim") can be derived on-line by selectively evoking stored representations of discrete episodes and exemplars. The present model assumes that a number of representations can be recruited in parallel, by either a stimulus event or an

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Citations
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Comparing Is Believing: A Selective Accessibility Model of Judgmental Anchoring

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The Cognitive Basis of Science: Science and innateness

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Counterfactual thinking and social perception : thinking about what might have been

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Counterfactual thinking and regulatory focus: implications for action versus inaction and sufficiency versus necessity.

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References
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Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI

Self-efficacy: toward a unifying theory of behavioral change.

TL;DR: An integrative theoretical framework to explain and to predict psychological changes achieved by different modes of treatment is presented and findings are reported from microanalyses of enactive, vicarious, and emotive mode of treatment that support the hypothesized relationship between perceived self-efficacy and behavioral changes.
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An inventory for measuring depression

TL;DR: The difficulties inherent in obtaining consistent and adequate diagnoses for the purposes of research and therapy have been pointed out and a wide variety of psychiatric rating scales have been developed.
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Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.