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Scaling reward value with demand curves versus preference tests.

Lindsay P Schwartz1, Alan Silberberg2, Anna H Casey2

  • 1Department of Psychology, American University, Washington, DC, 20016, USA. lindsaypschwartz@gmail.com.

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|February 25, 2016
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Summary

Demand analysis reliably quantifies food value in capuchins, unlike preference tests which show high lability due to food substitutability. Varying food amounts is recommended over using different food types for consistent value assessment.

Keywords:
Behavioral economicsChoiceExponential model of demandMonkeys

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Area of Science:

  • Behavioral Economics
  • Animal Cognition
  • Primate Research

Background:

  • Understanding food value is crucial for behavioral studies.
  • Traditional preference tests may not accurately reflect consistent food valuation.
  • Demand equations offer a quantitative approach to assess commodity value.

Purpose of the Study:

  • To compare the efficacy of demand equations versus preference tests in quantifying food value in capuchins.
  • To investigate the reliability and consistency of food valuation methods.
  • To explore the impact of food substitutability on value assessment.

Main Methods:

  • Experiment 1: Capuchins performed a task requiring lifting increasing weights for different food types, analyzed using a demand equation.
  • Experiment 2: Pairwise choice tests were conducted among the same food types.
  • Comparison of results from demand analysis and preference tests, including between-study comparisons.

Main Results:

  • Demand analysis indicated minimal value differences among the three food types for most capuchins.
  • Preference tests revealed strong, often absolute, preferences, but showed high variability between studies.
  • No correlation was found between values derived from preference tests and demand equations.

Conclusions:

  • Demand analysis provides a more reliable measure of food value than preference tests, which are susceptible to high substitutability.
  • Researchers should prioritize demand analysis or manipulate food quantity rather than type to avoid lability in value studies.
  • Varying amounts of a single food type offers a more robust method for value manipulation in research.