AN ANALYSIS OF CORRELATION-MATRICES - VARIABLES CROSS-CLASSIFIED BY 2 FACTORS
成果类型：
Article
署名作者：
BRIEN, CJ; JAMES, AT; VENABLES, WN
署名单位：
University of Adelaide
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1988
页码：
469476
关键词：
摘要：
A procedure similar to an analysis of variance is presented for examining the structure in correlation matrices whose variables are cross-classified by two factors, such as multitrait-multimethod matrices. The method tests an equal correlation hypothesis against natural alternative hypotheses suggested by group representations. When there is significant departure from the hypothesized pattern, alternative models to be pursued are indicated. The method is illustrated using an example.