4.4
4.4 How Do We Construct Causal Explanations for Events?
During the pandemic, a real-life scenario involving Deb's daughter, Millie, attending a birthday party under high community COVID-19 levels.
- The party was initially set to be outdoors as a "garden party" but shifted indoors due to unusually hot weather in Wisconsin.
- One child attending was sick; children were unmasked.
- Millie later contracted a cold, affecting the whole family, leading to frustration over quarantine and testing procedures.
Causal Explanation Inquiry:
- Factors influencing the determination of responsibility for the virus spread include:
- Awareness of illness by the transmitter of the virus.
- Social context and previous behaviors of the individuals involved.
- Research (Yao & Siegel, 2021) suggests:
- Increased anger and less sympathy towards individuals aware of their illness.
- Higher likelihood of advocating punishment for known transmitters of viruses.
Implications:
- How causal explanations affect emotions and social behavior.
4.4a We Rely Upon Particular Information When Explaining People's Actions
Fritz Heider (1958) introduced the concept of "naive psychology" which governs our understanding of human behavior.
- We analyze both personality/internal traits and the situational context surrounding actions.
- Stronger needs for explanations arise during unexpected or distressing events (Kanazawa, 1992).
Attribution:
- The process of inferring causes of behavior or events.
- Motivated by:
- Need for a logical worldview.
- Need to control and predict behavior of others.
- Involves a methodology akin to that of scientists testing hypotheses about behavior.
Locus of Causality
- Determining the locus of causality is crucial in making attributions (Jones & Davis, 1965).
- Internal Attribution (also person attribution):
- Correlates with internal states such as personality, mood, attitude, or effort.
- External Attribution (also situation attribution):
- Attributes cause to external factors like others' actions or environmental conditions.
- Example in party scenario:
- Internal Attribution: Party hosts were deemed reckless.
- External Attribution: Decision made due to hot weather.
- Attribution theorists focus on perception of causes, regardless of actual correctness.
Stability of Causality
- Attributions can also be categorized along a stable/unstable dimension:
- Stable Causes: Permanent and lasting.
- Unstable Causes: Temporary and changing.
- Examples:
- Dispositional causes can be both internal and stable: "She insulted me because she is rude."
- Internal and unstable: "She insulted me because she has a cold."
- External and stable: "She insulted me because I rub people the wrong way."
- External and unstable: "She insulted me because conditions made her job difficult."
4.4b The Covariation Model Explains Attributions Based on Three Types of Information
Harold Kelley’s (1967) covariation model elucidates the attribution process via the covariation principle:
- Cause must covary with the behavior observed.
- High covariation indicates stronger attribution.
Information Types Involved in Covariation:
- Consensus Information: Extent to which others respond similarly.
- Consistency Information: Whether the individual reacts similarly in past instances.
- Distinctiveness Information: Whether the individual reacts similarly to other different entities.
Attribution is likely to be internal and stable when:
- Low consensus.
- Low distinctiveness.
- High consistency.
- External attributions arise when:
- Low consensus and consistency.
- High distinctiveness.
- All high forms suggest entity attributions.
Classroom Example:
- Student falls asleep in class:
- Condition Analysis for Attribution:
- Consensus: Low (no one else asleep), High (all students asleep), Low (other professors’ classes).
- Consistency: The student regularly sleeps in class.
- Distinctiveness: Low (only this professor’s class) or High (only the student's class).
4.4c Biases in the Attribution Process
Attribution theory often assumes rational processes in assigning causality, although cognitive biases affect decision-making.
Self-Serving Bias:
- Assigns an internal locus for positive outcomes and an external locus for negative outcomes, protecting self-esteem.
- More pronounced in individualist cultures (Heine & Lehman, 1999; Mezulis et al., 2004).
Fundamental Attribution Error (FAE):
- Tendency to overestimate dispositional causes and underestimate situational influences on others’ behavior (Lee Ross, 1977).
- Study example of quiz game illustrates this bias:
- Quizmasters (holding perceived knowledge) and contestants (answering questions) led to misattributions of knowledge gleaned from participants, impacting judgments.
Possible explanations for FAE include:
- Preference for dispositional attributions to predict future behaviors.
- Perceptual salience of individuals over situational facets (Taylor & Fiske, 1975).
- Experiment findings show that perceived dominance affects judgments on input during interactions.
Cultural Variations in Attribution Biases
FAE's prevalence varies across cultures; less common in collectivist societies (e.g., South Asian Indians) than in individualist ones (e.g., Americans).
Cultural differences in attention to situational versus dispositional factors help inform the FAE's variation.
- Collectivists: Acknowledgment of situational context results in lower susceptibility to FAE (Owe et al., 2013).
Notable Study by Ara Norenzayan and Richard Nisbett (2000):
- Cultural framing differences observed between American and Japanese students when recalling details from stimuli, illustrating how perception affects attribution.
Perceptual Salience and Attribution Errors
Different self-perceptions (independent vs. interdependent) influence attributional judgments.
- Individualists’ focus on internal traits bolsters dispositional attribution.
- Collectivists tend to emphasize the influence of external circumstances based on their socially contextualized understanding of behavior.
Attributing negative outcomes to dispositions leads to diminished empathy for individuals in distress (e.g., victims of crime, homelessness) and can create social biases.
Actor-Observer Effect
The actor-observer effect describes discrepancies in causal attribution:
- Actors attribute their own actions to external factors, while observers attribute the same actions to internal factors (Jones & Nisbett, 1972).
This bias may be influenced by perceptual salience and varying attentions on cause and effect:
- Actors see circumstances; observers focus on the actor’s displayed traits and behaviors.
- Example: “Phubbing,” or ignoring someone via mobile phone, reveals different attributions in self and others regarding social interactions.
- May reflect self-serving biases, particularly with negative outcomes.
4.4d Making Attributions Involves Both Automatic and Deliberate Thinking
Attribution theories often portray humans as logical, rational beings in their decision-making, emphasizing explicit cognition.
Dual-process models address the interaction of automatic and deliberate thinking for attribution.
**Stages of Attribution Process:
- Spontaneous categorization:** Initial characterization of behavior based on immediate perceptions.
- Initial dispositional inference: Assessing intentions behind actions.
- Deliberate thinking: Factoring in situational influences and contextual reasoning affecting identified behavior.
For example, Deb may first spontaneously categorize the hosts’ actions as negative but eventually consider contextual conditions that contributed to their behavior.
Implications of Attributional Style
Individual differences in attributional style influence responses to uncontrollable life events.
Attributions classified as:
- Internal vs. External
- Stable vs. Unstable
- Global vs. Specific
Pessimistic explanatory style leads to negative self-perceptions, especially in certain demographics; linked to hopelessness (Abramson et al., 1978).
Optimistic explanatory styles promote better mental health outcomes, related to lower depressive symptoms and health risks (Bernstein et al., 2021).
Cognitive therapy can provide tools for those with a pessimistic explanatory style, fostering positive attribution habits which could lead to better mental wellness outcomes.
The work of Christopher Peterson and Martin Seligman highlights the benefits and outcomes of optimistic versus pessimistic explanatory styles on overall health and stress levels.