Abstract
Do couples at given parities who expect to have additional births differ on selected characteristics from their counterparts who do not expect to have any more children? This question is examined herein focusing attention on the wife’s age, age at marriage, religion, and education and the husband’s education and income. The method used is the discriminant-function analysis. The data are from the 1965 U. S. National Fertility Study. The combined discriminatory power of the social and economic background characteristics examined herein has been found to be greater at higher parities than at lower ones, while the opposite is true of demographic characteristics.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Anderson, T. W. 1958. An Introduction to Multivariate Analysis. New York: Wiley.
Bishop, Y. M. M., and S. E. Fienberg. 1969. Incomplete Two-Dimensional Contingency Tables. Biometrics 25:119–128.
Cooley, W. W., and P. R. Lohnes. 1971. Multivariate Data Analysis. New York: Wiley.
Cramer, E. 1967. Equivalence of Two Methods of Computing Discriminant Coefficients. Biometrics 23: 153.
Goldberg, David. 1960. Some Recent Developments in American Fertility Research. Pp. 137–154 in National Bureau Committee for Economic Research (ed.), Demographic and Economic Change in Developed Countries: A Conference of the Universities National Bureau Committee for Economic Research. Princeton: Princeton University Press.
Goodman, L. A. 1968. The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or without Missing Entries. Journal of the American Statistical Association 63:1091–1131.
—. 1970. The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications. Journal of the American Statistical Association 65:226–256.
—. 1972. A Modified Multiple Regression Approach to the Analysis of Dichotomous Variables. American Sociological Review 37: 28–46.
Gower, J. C. 1972. Measures of Taxonomic Distance and Their Analysis. Pp. 1–22 in J. S. Weiner and J. Huizinga (eds.), The Assessment of Population Affinities in Man. Oxford: Clarendon Press.
Grizzle, J. E., C. F. Starmer, and G. G. Koch. 1969. Analysis of Categorical Data by Linear Models. Biometrics 25:489–504.
Hope, Keith. 1969. Methods of Multivariate Analysis. New York: Gordon and Breach Science Publishers.
Kurczynski, T. W. 1970. Generalized Distance and Discrete Variables. Biometrics 26:525–534.
Mishler, Elliot G., and Charles F. Westoff. 1955. A Proposal for Research on Social Psychological Factors Affecting Fertility: Concepts and Hypotheses. Pp. 121–150 in Milbank Memorial Fund (ed.), Current Research in Human Fertility. New York: Milbank Memorial Fund.
Namboodiri, N. K. 1970. On the Relation between Economic Status and Family Size Preferences when Status Differentials in Contraceptive Instrumentalities are Eliminated. Population Studies 24:233–239.
—. 1972a. Experimental Designs in Which Each Subject is Used Repeatedly. Psychological Bulletin 77:54–64.
—. 1972b. Some Observations on the Economic Framework for Fertility Analysis. Population Studies 26:185–206.
— 1972c. The Integrative Potential of a Fertility Model: An Analytical Test. Population Studies 26:465–485.
— 1972d. Abstract Experimental Designs for Analyzing Mobility-Fertility Data. Demography India 1:91–107.
Rao, C. R. 1952. Advanced Statistical Methods in Biometric Research. New York: Wiley.
Ryder, Norman B., and Charles F. Westoff. 1971. Reproduction in the United States, 1965. Princeton: Princeton University Press.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Namboodiri, N.K. Which couples at given parities expect to have additional births? An exercise in discriminant analysis. Demography 11, 45–56 (1974). https://doi.org/10.2307/2060698
Issue Date:
DOI: https://doi.org/10.2307/2060698