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arXiv · 2212.00885

Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations

Paul Isihara·Chaojun Shi·Jonathan Ward·Leo O'Malley·Skyler Laney·Danilo Diedrichs·Gabriel Flores
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Abstract

This paper proposes the use of Most Typical (MT) and Most Ideal (MI) levels when an adaptive choice-based conjoint (ACBC) survey can only obtain a small sample size n from a small population size N.

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Paul Isihara, Chaojun Shi, Jonathan Ward, Leo O'Malley, Skyler Laney, Danilo Diedrichs, Gabriel Flores. 2022-12-01. Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations. https://arxiv.org/abs/2212.00885

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