5.2 Attribution Theory and Processes

Attribution Types

Understanding Attribution Theory and Its Types

Attribution theory explains how we assign causes to behaviors and events. Every time you watch someone do something and think "why did they do that?", you're making an attribution. This process is central to social perception because the explanations we land on shape how we feel about and respond to other people.

The two core types of attribution:

• Internal (dispositional) attribution assigns the cause of behavior to personal characteristics like traits, abilities, or effort. If a student aces a test, you might attribute it to their intelligence or strong work ethic.
• External (situational) attribution assigns the cause to factors outside the person, like the environment or circumstances. That same student bombing a test might be attributed to a poorly written exam or a noisy testing room.

People don't weigh these two options equally, though. The fundamental attribution error (FAE) is our tendency to overemphasize internal factors and underestimate situational ones when explaining other people's behavior. You see someone trip and think "they're clumsy" rather than noticing the uneven sidewalk.

Cultural context matters here too. Research consistently shows that people in collectivist cultures (such as East Asian societies) are more likely to consider situational factors, while people in individualist cultures (like the U.S.) lean harder toward dispositional explanations.

Factors Influencing Attribution Processes

Several biases systematically skew how we make attributions:

• Actor-observer bias: You tend to explain your own behavior with external factors ("I failed because the test was unfair") but explain others' behavior with internal factors ("They failed because they didn't study"). The key difference from FAE is that actor-observer bias specifically contrasts how you judge yourself versus others.
• Self-serving bias: You take credit for successes by attributing them internally ("I got an A because I'm smart") and deflect failures externally ("I got a D because the professor is terrible"). This protects self-esteem.
• Controllability: People make more internal attributions when the situation seems controllable. If someone fails a test they could have studied for, observers are more likely to blame the person than if the failure was due to something uncontrollable, like a family emergency.

A person's locus of control also plays a role. This is a personality trait describing where someone generally places the cause of events in their life. Those with an internal locus of control tend to see outcomes as driven by their own actions, while those with an external locus of control tend to see outcomes as shaped by outside forces. This default orientation influences the attributions they make about both themselves and others.

Correspondent Inference Theory

Key Concepts of Correspondent Inference Theory

Correspondent inference theory, developed by Edward E. Jones and Keith Davis (1965), focuses on a specific question: How do we use someone's behavior to infer their underlying traits and intentions? A "correspondent inference" means concluding that a person's behavior directly reflects (corresponds to) their disposition.

Not all behaviors are equally useful for making these inferences. Jones and Davis identified conditions that make correspondent inferences more likely:

• Freely chosen behavior: If someone was forced or pressured into an action, it tells you little about who they really are. Freely chosen actions are far more informative.
• Socially undesirable or unexpected behavior: Actions that go against social norms stand out. If everyone claps after a presentation and one person doesn't, that nonconformity reveals more about their true attitude than the clapping does.
• Non-common effects: This principle says you should look at what's unique about the chosen action compared to alternatives. If someone picks University A over University B, and the only difference is that University A has a strong music program, you can infer music matters to them. The fewer unique consequences a choice has, the easier it is to pinpoint the person's motive.

Kelley's Covariation Model

Covariation Model and Its Components

While correspondent inference theory deals with single observations, Harold Kelley's covariation model (1967) explains how we make attributions when we have information from multiple instances of behavior. The core idea is the covariation principle: we attribute behavior to whatever factor is present when the behavior occurs and absent when it doesn't.

Kelley identified three information dimensions we use:

• Consensus: Do other people behave the same way in this situation?
  • High consensus: Most people act similarly (everyone laughs at the comedian)
  • Low consensus: Few others act this way (only one person laughs)
• Distinctiveness: Does this person behave this way only in this particular situation, or across many situations?
  • High distinctiveness: The behavior is specific to this situation (they only laugh at this comedian)
  • Low distinctiveness: They behave this way in many situations (they laugh at every comedian)
• Consistency: Does this person behave the same way in this situation over time?
  • High consistency: The behavior happens repeatedly (they laugh at this comedian every time)
  • Low consistency: The behavior is irregular (sometimes they laugh, sometimes they don't)

Understanding and Applying Kelley's Cube

Kelley's cube is a way to visualize how these three dimensions combine to predict attributions. Each dimension (consensus, distinctiveness, consistency) forms one axis, creating eight possible high/low combinations. Three patterns are especially important:

Internal (person) attribution — when the cause seems to be something about the individual:

• Low consensus (nobody else does this)
• Low distinctiveness (this person does it in many situations)
• High consistency (this person does it every time)

External (stimulus/entity) attribution — when the cause seems to be the situation or target:

• High consensus (everyone does this)
• High distinctiveness (this person only does it here)
• High consistency (it happens every time in this situation)

Circumstance attribution — when the cause seems to be a particular moment or unusual set of conditions:

• Low consensus (nobody else does this)
• High distinctiveness (this person doesn't usually do this)
• Low consistency (it doesn't happen regularly)

Practical Applications and Limitations

The covariation model shows up in real-world settings beyond the classroom. Managers use similar reasoning (often without realizing it) when evaluating employee performance: Is this person the only one struggling? Do they struggle with all tasks or just this one? Is this a pattern or a one-time thing?

That said, the model has clear limitations. It assumes people have access to all three types of information, which they often don't. In reality, we frequently make snap attributions based on a single observation, incomplete data, or cognitive biases like the fundamental attribution error. Kelley himself acknowledged this, later proposing causal schemas as mental shortcuts people use when full covariation information isn't available.