TY - JOUR
T1 - Estimating fuzzy set membership coefficients with log-multiplicative association models
T2 - The case of contracepttveness
AU - Liao, Futing
N1 - Funding Information:
An earlier version of the paper was presented at the annual meeting of the Population Association of America, April 30 to May 2, 1987, Chicago. The research has been partially benefited from a grant from the National Institute of Child Health and Human Development, HD 18101, to Ronald R. Rindfuss, and from a Centers grant from the National Institute of Child Health and Human Development to the Carolina Population Center. I would like to thank Lynn Igoe, Peter Marsden, Ronald Rindfuss, and Burt Singer for their helpful comments. I would also like to thank the anonymous reviewer's criticisms and suggestions, and Marc Artzrouni's editorial assistance.
PY - 1989/1
Y1 - 1989/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84972972622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84972972622&partnerID=8YFLogxK
U2 - 10.1080/08898488909525284
DO - 10.1080/08898488909525284
M3 - Article
AN - SCOPUS:84972972622
SN - 0889-8480
VL - 1
SP - 357
EP - 376
JO - Mathematical Population Studies
JF - Mathematical Population Studies
IS - 4
ER -