In:
Sociological Methods & Research, SAGE Publications, Vol. 31, No. 3 ( 2003-02), p. 291-324
Abstract:
In the analysis of cross-classified data, sociologists often focus on building flexible models for the marginal distributions of a selected set of variables. One strategy for achieving flexible modeling is to design models for telescoping marginal distributions. As an illustration of telescoping distributions, consider a joint distribution of four crossclassifying variables: occupational attainment, education level, race, and gender. A set of telescoping distributions would be the univariate occupation distribution, the bivariate occupation by education, the trivariate occupation by education by race, and the entire joint distribution. A methodology that enables the telescoping modeling strategy is mixed parameterization, which has its roots in the statistics and sociology literatures. In this article, the authors develop a scheme of multilevel mixed parameterization that can be applied to a hierarchy of marginal distributions of reducing dimension. An example from the General Social Survey illustrates mixed parameters for telescoping models.
Type of Medium:
Online Resource
ISSN:
0049-1241
,
1552-8294
DOI:
10.1177/0049124102239078
Language:
English
Publisher:
SAGE Publications
Publication Date:
2003
detail.hit.zdb_id:
2002146-X
detail.hit.zdb_id:
121808-6
SSG:
3,4
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