An Incomplete Contingency Table Approach to Paired-Comparison Experiments
作者:
PeterB. Imrey,
WilliamD. Johnson,
GaryG. Koch,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1976)
卷期:
Volume 71,
issue 355
页码: 614-623
ISSN:0162-1459
年代: 1976
DOI:10.1080/01621459.1976.10481537
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A wide variety of paired-comparison experiments and surveys may be viewed within the framework of “incomplete” contingency table analysis. Bradley-Terry models for such data can be chosen and further examined by a noniterative logit analysis. Multivariate paired comparisons with factor structure can be analyzed through reparameterization of the underlying models for each combination of factor levels. The method is subject to sample-size restrictions but allows the experimenter to design his survey without complex symmetry conditions or independence assumptions.
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