Evaluating the conformity of sociometric measurements |
| |
Authors: | Lawrence J Hubert Frank B Baker |
| |
Institution: | (1) University of California, Santa Barbara;(2) Department of Educational Psychology, The University of Wisconsin, 1025 West Johnson Street, 53706 Madison, Wisconsin |
| |
Abstract: | The problem of comparing two sociometric matrices, as originally discussed by Katz and Powell in the early 1950's, is reconsidered and generalized using a different inference model. In particular, the proposed indices of conformity are justified by a regression argument similar to the one used by Somers in presenting his well-known measures of asymmetric ordinal association. A permutation distribution and an associated significance test are developed for the specific hypothesis of no conformity reinterpreted as a random matching of the rows and (simultaneously) the columns of one sociometric matrix to the rows and columns of a second. The approximate significance tests that are presented and illustrated with a simple numerical example are based on the first two moments of the permutation distribution, or alternatively, on a random sample from the complete distribution.Partial support for the research of the first author was provided by the National Science Foundation through SOC 75-07860. Equal authorship is implied. The work was done when the first author was at the University of Wisconsin. |
| |
Keywords: | sociometric measurement permutation test sociometry nonparametric test |
本文献已被 SpringerLink 等数据库收录! |
|