Estimating fuzzy set membership coefficients with log-multiplicative association models: The case of contracepttveness

Research output: Contribution to journalArticlepeer-review

Abstract

Demographers conventionally group survey respondents into categories. Along the lines of classical set theory, membership in a category is a dichotomous 0-1 variable. In this article, I present an alternative to this yes-no grouping in which observations belong to fuzzy sets, in which the membership is a gradation between 0 and 1, depending on the extent to which a person belongs to the set. The analysis uses data on a sample of women from the 1982 U.S. National Survey of Family Growth, and substantively focuses on reasons for sterilization. The log-multiplicative association model is used to estimate contraceptiveness, i.e., the extent to which sterilization was for a contraceptive purpose, versus a medical purpose.

Original languageEnglish (US)
Pages (from-to)357-376
Number of pages20
JournalMathematical Population Studies
Volume1
Issue number4
DOIs
StatePublished - Jan 1989
Externally publishedYes

ASJC Scopus subject areas

  • Demography
  • Geography, Planning and Development
  • Agricultural and Biological Sciences(all)

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