Handling ordinal variables in three‐way analysis of quantification matrices for variables of mixed measurement levels
作者:
Henk A. L. Kiers,
期刊:
British Journal of Mathematical and Statistical Psychology
(WILEY Available online 1993)
卷期:
Volume 46,
issue 1
页码: 135-152
ISSN:0007-1102
年代: 1993
DOI:10.1111/j.2044-8317.1993.tb01006.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
For the analysis of variables of mixed measurement levels a class of methods can be used that is based on three‐way analysis of quantification matrices for nominal or quantitative variables. This class of methods incorporates some well‐known techniques but also offers a series of interesting new alternatives for the analysis of nominal or quantitative variables. Ordinal variables have received hardly any attention in this class of methods, and are usually treated as if they are quantitative variables. In the present paper this gap is filled by constructing quantification matrices for ordinal variables via optimal scaling of the ordinal variables, thus yielding optimal quantification matrices for these variables. Algorithms for this optimal scaling procedure are developed, and the optimal scaling procedures are compared to optimal scaling of ordinal variables in the context of principal components analysis and multidimensional scal
点击下载:
PDF
(1014KB)
返 回