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On accumulation of information and model selection

Published online by Cambridge University Press:  06 November 2001

Ido Erev
Affiliation:
Columbia Business School, New York, NY 10027; Industrial Engineering and Management, Technion, Haifa 32000, Israelerev@tx.technion.ac.il
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Abstract

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This commentary extends Hertwig & Ortmann's analysis by asking how stricter model selection conventions can facilitate the accumulation of information from experimental studies. In many cases researchers are currently motivated to summarize their data with ambiguous and/or multi parameter models. A “generality first” convention can help eliminate this problem.

Type
Brief Report
Copyright
© 2001 Cambridge University Press