The problem of categorial data analysis in survey sampling arises because of non-independence of sample elements of the sample obtained through imposed sampling design. In this article the performance of modified c 2 statistic for testing independence of attributes have been evaluated for small samp
Small-sample comparison of McCullagh and Nair analyses for nominal-ordinal categorical data
✍ Scribed by D.J. Best; J.C.W. Rayner; L.G. Stephens
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 330 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0167-9473
No coin nor oath required. For personal study only.
✦ Synopsis
Analysis of two-way nominal-ordinal categorical data can be done via the parametric linear-logistic approach of McCullagh (1980) or by the non-parametric partition of chi-squared method given by Nair (1986). Monte Carlo simulations are used to compare test sizes and powers for these two approaches. These comparisons do not favour either approach over the other. The orthogonal analysis is an advantage of the Nair method, t~) 1998 Elsevier Science B.V. All rights reserved.
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