首页   按字顺浏览 期刊浏览 卷期浏览 Use of Nested Orthogonal Contrasts in Analyzing Rank Data
Use of Nested Orthogonal Contrasts in Analyzing Rank Data

 

作者: JohnI. Marden,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1992)
卷期: Volume 87, issue 418  

页码: 307-318

 

ISSN:0162-1459

 

年代: 1992

 

DOI:10.1080/01621459.1992.10475210

 

出版商: Taylor & Francis Group

 

关键词: Contingency tables;Discordant pairs;Kendall's tau;Mallows'sϕmodel;Orthogonal contrasts;Permutations;Rank statistics

 

数据来源: Taylor

 

摘要:

A data set consisting of 143 rankings of 10 occupations from a survey of Goldberg has been analyzed in a number of recent papers. The purpose of this paper is to use so-called “nested orthogonal contrasts” of the occupations to gain further insight into the data. A contrast is a comparison of subsets of the occupations based on their relative ranks; contrasts are orthogonal if the comparisons they represent are not confounded. Various models based on sets of orthogonal contrasts—including contingency table models, models analogous to those of Fligner and Verducci, and latent class models—are applied to the data. It is found that there are three main groups of occupations based on overall prestige, and within each group are distinctions between managerial and technical occupations.

 

点击下载:  PDF (1180KB)



返 回