Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity

Wayne Desarbo, Rabikar Chatterjee, Juyoung Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents a new procedure called TREEFAM for estimating ultrametric tree structures from proximity data confounded by differential stimulus familiarity. The objective of the proposed TREEFAM procedure is to quantitatively "filter out" the effects of stimulus unfamiliarity in the estimation of an ultrametric tree. A conditional, alternating maximum likelihood procedure is formulated to simultaneously estimate an ultrametric tree, under the unobserved condition of complete stimulus familiarity, and subject-specific parameters capturing the adjustments due to differential unfamiliarity. We demonstrate the performance of the TREEFAM procedure under a variety of alternative conditions via a modest Monte Carlo experimental study. An empirical application provides evidence that the TREEFAM outperforms traditional models that ignore the effects of unfamiliarity in terms of superior tree recovery and overall goodness-of-fit.

Original languageEnglish (US)
Pages (from-to)527-566
Number of pages40
JournalPsychometrika
Volume59
Issue number4
DOIs
StatePublished - Dec 1 1994

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Tree Structure
Maximum likelihood
Proximity
Recovery
Social Adjustment
Goodness of fit
Maximum Likelihood
Experimental Study
Adjustment
Filter
Recognition (Psychology)
Alternatives
Estimate
Demonstrate
Model

All Science Journal Classification (ASJC) codes

  • Psychology(all)
  • Applied Mathematics

Cite this

Desarbo, Wayne ; Chatterjee, Rabikar ; Kim, Juyoung. / Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity. In: Psychometrika. 1994 ; Vol. 59, No. 4. pp. 527-566.
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Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity. / Desarbo, Wayne; Chatterjee, Rabikar; Kim, Juyoung.

In: Psychometrika, Vol. 59, No. 4, 01.12.1994, p. 527-566.

Research output: Contribution to journalArticle

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