Dados Bibliográficos

AUTOR(ES) R.A. Zeller , Zachary H. Levine
AFILIAÇÃO(ÕES) Department of Sociology State University of New York at Buffalo, Department of Mathematics Massachusetts Institute of Technology
ANO 1974
TIPO Artigo
PERIÓDICO Sociological Methods and Research
ISSN 0049-1241
E-ISSN 1552-8294
EDITORA SAGE Publications
DOI 10.1177/004912417400200406
ADICIONADO EM 2025-08-18
MD5 7ceea190ccce233107a2a5f03ba9d7f7

Resumo

Using randomly generated samples from populations having varying rhos, different shapes of distributions, and varying sample sizes, the effects of violating the population normality assumption underlying r were examined. Results indicate that the normality assumption underlying r is robust (i. e., that violation of the population normality assumption does not seriously alter the interpretation of r). Violation of the population normality assumption appears, therefore, to be insufficient reason to deny r a place as a major tool for sociological analysis.

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