Attribution: The Power and Limitations of Inferences
Self-Fulfilling Prophecies
- Definition: A phenomenon where our behavior toward a person causes them to act in a way that confirms our expectations.
- Rosenthal & Jacobson (1968): In a study on "Bloomers" vs. "not Bloomers," students identified as potential bloomers showed significant standardized test score increases 8 months later due to teacher expectations.
- Word, Zanna, & Cooper (1974): This study found that applicants (regardless of race) were perceived as more competent when treated with "warm behavior" by interviewers, suggesting that interviewer bias can create a self-fulfilling prophecy of competency.
Perceiving Others: Accuracy and Biases
- Thin-Slicing: Formed by Ambady & Rosenthal (1993), this refers to the ability to form accurate attributions based on minimal information (e.g., a 30exts silent clip of a professor).
- Primacy Effect: Asch (1946) demonstrated that information learned first is more heavily weighted than later information in person perception.
- Halo Effect: Defined as the tendency to perceive attractive individuals as possessing other positive traits (e.g., honesty, competence).
- Berscheid & Walster (1972): Showed that attractiveness influences inferences of traits like stability and altruism.
- Batres & Shiramizu (2022): Confirmed the Halo Effect is universal across cultures, often leading to less severe sentencing for attractive perpetrators.
- Valenced Information: Hansen & Hansen (1988) argued that "bad is stronger than good," noting that negative information draws greater attention than positive information.
Fundamentals of Attribution
- Attribution: The process of disambiguating the reasons behind our own and others' behavior.
- Dispositional Attribution: An internal inference that behavior reflects a person's characteristics (e.g., "He's weird").
- Situational Attribution: An external inference that behavior is caused by the environment (e.g., "He was dared to do it").
Models and Errors in Attribution
- Correspondent Inference Model (Jones & Davis, 1965): People are more likely to make dispositional inferences when a behavior is:
- Voluntary (High Choice).
- Atypical or non-normative (Unexpected).
- Resulting in a unique outcome (Uncommon Effects).
- Fundamental Attribution Error (FAE): The tendency to overestimate dispositional influences and underestimate situational factors.
- Jones & Harris (1967): Participants attributed pro-Castro attitudes to essay writers even when told the writers were forced to take that position.
- Quiz Master Effect (Ross et al., 1977): Contestants rated "questioners" as more intelligent, failing to realize the situation (creating the questions) made them appear so.
- Attributions and Time: Burger (1991) found that dispositional attributions often fade over time; in delayed surveys (e.g., one week later), people are more likely to consider situational factors.
Why the Fundamental Attribution Error Occurs
- Just-World Beliefs (Lerner, 1980): The motivated belief that people get what they deserve (e.g., "Good things happen to good people").
- Automaticity (Gilbert, Pelham, & Krull, 1988): The Correction Model suggests that dispositional attribution is an automatic first step. Situational correction is an effortful second step that only occurs if one has the motivation and cognitive ability.
- Perceptual Salience: We focus on people because they are visible/salient, while situational influences often remain "invisible."
Contextual and Cultural Influences
- Illusion of Transparency (Newton, 1990): The tendency to overestimate the extent to which others understand our internal mental states.
- Culture and FAE: The Fundamental Attribution Error is less common in collectivistic cultures (e.g., Japan) compared to independent cultures (e.g., USA).
- Masuda & Nisbett (2001): Found that Japanese participants were more likely to identify and remember contextual (situational) features compared to American participants.
Questions & Discussion
- Practice Item: Juan is interviewing Sasha, who has a mustard stain on her clothes. Sasha explains it as bad luck, and they laugh about it. Juan decides to ignore it and focus on her skills. According to the Correction Model of Attribution, is the mustard stain likely to bias Juan?
- Response: The model suggests that while the initial dispositional inference (e.g., Sasha is messy) is automatic, Juan's high motivation to hire the right candidate and his deliberate choice to focus on her skills represent the effortful second step of situational correction.