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Among those who cycle most have no regrets

Among those who cycle most have no regrets. Michael H. Birnbaum Decision Research Center, Fullerton. Outline. Family of Integrative Contrast Models Special Cases: Regret Theory, Majority Rule (aka Most Probable Winner) Predicted Intransitivity: Forward and Reverse Cycles

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Among those who cycle most have no regrets

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  1. Among those who cycle most have no regrets Michael H. Birnbaum Decision Research Center, Fullerton

  2. Outline • Family of Integrative Contrast Models • Special Cases: Regret Theory, Majority Rule (aka Most Probable Winner) • Predicted Intransitivity: Forward and Reverse Cycles • Pilot Experiment & Planned Work with Enrico Diecidue • Results: Pilot tests. Comments welcome

  3. Integrative, Interactive Contrast Models

  4. Assumptions

  5. Special Cases • Majority Rule (aka Most Probable Winner) • Regret Theory • These can be represented with different functions. I will illustrate with different functions, f.

  6. Majority Rule Model

  7. Regret Model

  8. Predicted Intransitivity • These models violate transitivity of preference • Regret and MR cycle in opposite directions • However, both REVERSE cycle under permutation over events; i.e., “juxtaposition.”

  9. Concrete Example • Urn: 33 Red, 33White, 33 Blue • One marble drawn randomly • Prize depends on color drawn. • A = ($4, $5, $6) means win $4 if Red, win $5 if White, $6 if Blue.

  10. A = ($4, $5, $6) B = ($5, $7, $3) C = ($9, $1, $5) AB: choose B BC: choose C CA: choose A Notation: 222 A’ = ($6, $4, $5) B’ = ($5, $7, $3) C’ = ($1, $5, $9) A’B’: choose A’ B’C’: choose B’ C’A’: choose C’ Notation: 111 Majority Rule Prediction

  11. A = ($4, $5, $6) B = ($5, $7, $3) C = ($9, $1, $5) AB: choose A BC: choose B CA: choose C Notation: 111 A’ = ($6, $4, $5) B’ = ($5, $7, $3) C’ = ($1, $5, $9) A’B’: choose B’ B’C’: choose C’ C’A’: choose A’ Notation: 222 Regret Prediction

  12. Pilot Test • 240 Undergraduates • Tested via computers (browser) • Clicked button to choose • 30 choices (includes counterbalanced choices) • 10 min. task, 30 choices repeated.

  13. ABC Design Results

  14. True and Error Model Assumptions • Each choice in an experiment has a true choice probability, p, and an error rate, e. • The error rate is estimated from inconsistency of response to the same choice by same person over repetitions

  15. One Choice, Two Repetitions

  16. Solution for e • The proportion of preference reversals between repetitions allows an estimate of e. • Both off-diagonal entries should be equal, and are equal to:

  17. Estimating e

  18. Estimating p

  19. Testing if p = 0

  20. A’B’C’ Results

  21. ABC X A’B’C’ Analysis

  22. ABC-A’B’C’ Analysis

  23. Results • Most people are transitive. • Most common pattern is 112, pattern predicted by TAX with prior parameters. • However, 2 people were perfectly consistent with MR on 24 choices. • No one fit Regret theory perfectly.

  24. Results: Continued • Among those few (est. ~10%) who cycle (intransitive), most have no regrets (i.e., they appear to satisfy MR). • Suppose 5-10% of participants are intransitive. Do we think that they indeed use a different process? Is there an artifact in the experiment? If not, can we increase the rate of intransitivity?

  25. Advice Welcome: Our Plans • We plan to test participants from the same pool was used to elicit regret function. • Assignment: Devise a theorem of integrative interactive contrast model that will lead to self-contradiction (“paradox” of regret theory). • These contrast models also imply RBI, which is refuted by our data.

  26. Summary • Regret and MR imply intransitivity whose direction can be reversed by permutation of the consequences. • Very few people are intransitive but a few do indeed appear to be consistent with MR and 2 actually show the pattern in 24 choices.

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