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Titolo:
CONCEPTS OF NONINDEPENDENCE IN CONFIGURAL FREQUENCY-ANALYSIS
Autore:
VONEYE A; ROVINE MJ; SPIEL C;
Indirizzi:
MICHIGAN STATE UNIV,ROM PROGRAM,321 BERKEY HALL E LANSING MI 48824 PENN STATE UNIV UNIVERSITY PK PA 16802 UNIV VIENNA A-1010 VIENNA AUSTRIA
Titolo Testata:
The Journal of mathematical sociology
fascicolo: 1, volume: 20, anno: 1995,
pagine: 41 - 54
SICI:
0022-250X(1995)20:1<41:CONICF>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Keywords:
CONFIGURAL FREQUENCY ANALYSIS; DEVIATIONS FROM INDEPENDENCE; MARGINAL DEPENDENCE; K-SAMPLE CFA; TYPAL ANALYSIS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Physical, Chemical & Earth Sciences
CompuMath Citation Index
Citazioni:
25
Recensione:
Indirizzi per estratti:
Citazione:
A. Voneye et al., "CONCEPTS OF NONINDEPENDENCE IN CONFIGURAL FREQUENCY-ANALYSIS", The Journal of mathematical sociology, 20(1), 1995, pp. 41-54

Abstract

Configural Frequency Analysis (CFA) is a method for cell-wise testingin contingency tables whether some model is contradicted. Goals of CFA include the identification of groups of cases that occur at higher (or lower) rates than expected from some model. These groups are then interpreted from a typological perspective. Thus far, CFA has chiefly used statistics that are relatives of the Pearson X-squared. This paperproposes using a broader range of concepts of nonindependence. Specifically, it proposes using Goodman's (1991) three measures of nonindependence, the unweighted interaction, lambda, the relative difference, Delta, and the weighted interaction, lambda. In a simulation such characteristics of these measures as marginal-dependence are illustrated. The use of these measures in CFA is illustrated using k-sample CFA designs. Suicide data are analyzed using the three measures.

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Documento generato il 12/07/20 alle ore 03:18:09