Covariation Model
Updated 2026-08-05
INTRODUCTION
English translation pending.
CORE DEFINITION
Harold Kelley's covariation model describes how people decide whether a person's behavior stems from the actor, the stimulus, or the situation, using three dimensions: distinctiveness, does the person behave this way only toward this thing; consistency, does the person behave this way every time; and consensus, does everyone behave this way. The patterns combine into attribution: high consensus, low consistency, and high distinctiveness point to the environment, and the person is let off the hook. The practical use is as an algorithm for fairness: run the three questions before concluding that a late employee or an angry partner is simply careless or unkind. Qualification: the model describes everyday inference, which still falls into the fundamental attribution error.
SCAFFOLDING EFFECT
Reduce cognitive load
- Fairness algorithm: run the three questions before deciding a behavior is really about the person. - Pattern lookup: high consensus plus high distinctiveness and low consistency points to the situation. - Consensus first: ask whether everyone behaves this way before anything else.
Anchor fast decisions
Kelley proposed that everyday attribution integrates three covariation cues: how distinctive the behavior is to this stimulus, how consistent it is over time, and how much consensus others show. Certain combinations map onto stable causes, allowing the observer to locate behavior in the actor, the stimulus, or the situation, and to act on that causal reading.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Covariation_modelverified
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