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P/S 04 · Heuristics, biases and experimental design

Anchors and Frames

Interpret experiments on anchoring, framing and time pressure.

Passage

People often make judgments quickly by using mental shortcuts called heuristics. Heuristics are efficient, but they can lead to systematic errors, or biases. In an anchoring effect, an initial number influences later estimates even when the number is irrelevant. In a framing effect, people choose differently between options with the same outcomes depending on whether the options are described as gains or as losses. Many psychologists describe thinking as having a fast, automatic mode and a slower, deliberate mode, and they expect biases to be stronger when people have little time to think.

Part 1. Researchers recruit 120 adults and randomly assign them to one of two groups of 60. Each participant is asked to estimate how many minutes it takes to drive from one end of a city to the other at midday. Before giving an estimate, participants in the low-anchor group are asked, ‘Does the drive take more or less than 20 minutes?’ Participants in the high-anchor group are asked, ‘Does the drive take more or less than 90 minutes?’ All participants then write down their own estimate. Table 1 shows the mean estimates.

The research assistants who recorded the estimates did not know which anchor each participant had been given. The expected value of an option is the sum of each outcome multiplied by its probability, a quantity that is used in Part 2.

Table 1. Mean estimated driving time by anchor condition.

GroupAnchor (minutes)ParticipantsMean estimate (minutes)
Low anchor206036
High anchor906062

Part 2. In a second study, a different set of 400 adults read a description of a town in which a factory closure will affect 600 jobs. Participants are randomly assigned to one of four groups of 100. All are asked to choose between two plans, A and B. In the gain frame, Plan A is described as ‘200 of the 600 jobs will definitely be saved,’ and Plan B as ‘a one-in-three chance that all 600 jobs are saved and a two-in-three chance that none are saved.’ In the loss frame, Plan A is described as ‘400 of the 600 jobs will definitely be lost,’ and Plan B as ‘a one-in-three chance that no jobs are lost and a two-in-three chance that all 600 jobs are lost.’ Half of the participants in each frame must decide within ten seconds, and the other half are given as much time as they want. Table 2 shows the percentage who chose Plan A, the sure option.

Table 2. Percentage of participants who chose the sure option (Plan A).

FrameNo time limitTen-second limit
Gain frame7280
Loss frame3825

After the study, one participant told the researchers, ‘I knew the drive was long, since I can easily remember the last three times I got stuck in traffic.’ The researchers note that the participants were not offered any payment based on the accuracy of their estimates or on the outcomes of their choices.

Questions

Question 1 of 6

What is the main conclusion that can be drawn from Table 1?

Question 2 of 6

Why is random assignment important in Part 1?

Question 3 of 6

Plan A and Plan B in Part 2 have the same expected outcome. What is the expected number of jobs saved with Plan B (in the gain frame)?

Question 4 of 6

Which statement best describes the pattern with no time limit in Table 2?

Question 5 of 6

With a ten-second limit, the difference between the frames is 55 points, compared with 34 points with no limit. This finding is most consistent with the idea that:

Question 6 of 6

The participant who said, ‘I knew the drive was long, since I can easily remember the last three times I got stuck in traffic,’ is best described as using: