Judgment
posted 4/12/06
Reading assignment: Chapter 14
Video #1662 (Available from Media Services)
Heuristics & Biases
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__________ = the phenomenon
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Systematic deviation from a normative standard
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_________ = the descriptive theory
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Simple strategy that usually gives the normative answer, but which
leads to systematic bias in some circumstances
Judgment
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3 biases from Kahneman and Tversky
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Availability bias
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Conjunction Fallacy
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Anchoring
Availability Heuristic
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Assess the frequency of a class or the probability of an event by the ______________________________________.
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Instances of large classes or likely events are usually accessed faster
and easier.
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But, availability is also influenced by factors other than frequency/probability.
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sometimes events are _________ but not _______________
Examples
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People judge a _____________ to be more likely than a _______________.
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Or air travel to be more dangerous than car travel.
Availability Bias
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Which are more common:
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Words with r as the first letter
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Words with r as the third letter
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Much easier to think of example words that start with r, so think that
is more frequent.
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But here, greater availability is due to _______________, not greater frequency.
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_____________ = judging more “available” events to be more likely, even
when they are not.
Anchoring and Adjustment
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How long is the Mississippi River? More or less than 3,000 miles?
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Answers are influenced by the ___________________.
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Explanation? “Anchoring and adjustment” — subject starts with anchor and
adjusts (____________) to final response
Anchoring Example
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What is the percentage of African countries in the United Nations, more
or less than 10%? [or 65%]
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(Anchor number determined by spin of wheel of fortune.)
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What is the percentages? ______%
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Median responses were _____% and _____% for the two groups.
Anchoring and Adjustment
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Tversky & Kahneman original description:
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Estimate a quantity by starting from an initial value that is adjusted
to yield the final answer. Adjustment is frequently insufficient.
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Current theories of anchoring
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Don’t talk about __________________
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Instead implicate memory priming processes
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Information consistent with the anchor is more ____________.
Conjunction Fallacy
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Subjects judge that it is more likely that Linda in a feminist bankteller
than that she is a bankteller.
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Violates conjunction rule of _____________ Theory
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Explanation : __________________ Heurstic
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Judge likelihood that X is a member of category Y by determining how representative
X is of Y
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Problematic because other factors (such as category size) are also relevant.
Representativeness Heuristic
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Descriptive Theory
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Probability judgments based on __________________ or representativeness
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If Linda is similar to a feminist bankteller, than Linda is likely to be
a feminist bankteller
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If A is similar to B, then A is likely to be related to B or to be caused
by B.
Resulting Biases
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Conjunction fallacy
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_____________________
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Insensitivity to sample size
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Misconceptions of chance
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Insensitivity to predictability
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Illusion of validity
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Misconceptions of regression
Conjunction Fallacy
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Linda’s description is more representative of a feminist bank teller than
of a bank teller.
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Conjunction rule and probability theory are irrelevant to representativeness
Conjunction Fallacy
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Which is more likely
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A flood in California that kills more than 1000 people.
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An earthquake that triggers a flood in California that kills more than
1000 people.
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Easier to________________ that produce the latter.
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Similarly, easier to image a scenario in which a man over age 55 has a
heart attack, than on in which a man has a heart attack.
Marta Suarez’s Experiment
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Tests a __________ account of the Conjunction Fallacy
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Maxim of ___________: speaker should say what is relevant.
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If experimenter gives a description of Linda, it must be relevant to the
judgment I am supposed to give.
Linda Description: Linda is 31 years old, single, outspoken,
and very bright. She majored in philosophy. As a student, she
was deeply concerned with issues of discrimination and social justice,
and also participated in anti-nuclear demonstrations.
Rank order the likelihood of each of the following statements.
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Linda is active in the feminist movement.
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Linda is a bank teller.
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Linda is a bank teller and active in the feminist movement.
2x2 Design
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Typicality Judgments Yes |
Typicality Judgments No |
| "Whether or not" wording |
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| Regular wording |
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Typicality Judgments
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How typical are each of the following statements of Linda?
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Linda is active in the feminist movement.
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Linda is a bank teller.
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Linda is a bank teller and active in the feminist movement.
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Then rank order the statements for likelihood.
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Should prevent Ss from thinking that the Linda description needs to be
relevant to the likelihood judgments
“Whether or Not”
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When asked to rank order the statements for likelihood, the statements
appeared like this:
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Linda is active in the feminist movement.
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Linda is a bank teller whether or not she is active in the feminist
movement.
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Linda is a bank teller and active in the feminist movement.
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Should prevent Ss was interpreted “bankteller” as “non-feminist bankteller”
Predictions
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Typicality Judgments Yes |
Typicality Judgments No |
| "Whether or not" wording |
|
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| Regular wording |
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Methods
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Subjects: 120 students in this class
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Procedure: Paper-and-pencil questionnaire completed during class
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Linda description
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Typicality ratings (for some conditions)
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Rank order likelihood (w/ WON vs. regular wording)
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Set problems using Venn Diagrams
Results
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56% of Ss ranked FBT as less likely than both F and BT
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27% showed the usual type of conjunction fallacy: FBT > BT
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17% showed an unusual conjunction fallacy: FBT > F
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Why so many unusual CFs?
Explanation
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It seems that many Ss found it confusing to rank order likelihood.
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Rank of 1 means most likely
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Rank of 3 means least likely
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Many Ss seem to have used 3 to mean most likely and 1 mean least likely.
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We checked how many Ss ranked F ahead of BT (e.g., F = rank 1, BT = rank
2)
Correct use of rank order
|
Typicality Judgments Yes |
Typicality Judgments No |
| "Whether or not" wording |
|
|
| Regular wording |
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Number of Conjunction Fallacies
|
Typicality Judgments Yes |
Typicality Judgments No |
| "Whether or not" wording |
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| Regular wording |
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Score on Venn Diagram Problems (out of 8 possible)
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Typicality Judgments Yes |
Typicality Judgments No |
| "Whether or not" wording |
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| Regular wording |
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