The dimensions of poverty

The nature of ‘poverty’ is examined in relation to a model of causes affecting the welfare of a community. It is suggested that one can operationally distinguish four major dimensions of poverty, namely economic, social, political and legal poverty; and that one might in addition be able to characterise three further aspects, namely psychological, ideological and conceptual poverty. It is proposed that at least the first four aspects should be distinguished and explicitly named, thereby specifically characterising these different dimensions of ‘poverty’; and that this would serve a useful purpose in clarifying the nature of the problems faced by the community considered.     

Bayesian incorporation of repeated measurements in logistic discrimination

A common problem in medical statistics is the discrimination between two groups on the basis of diagnostic information. Information on patient characteristics is used to classify individuals into one of two groups: diseased or disease-free. This classification is often with respect to a particular disease. This discrimination has two probabilistic components: (1) the discrimination is not without error, and (2) in many cases the a priori chance of disease can be estimated. Logistic models (Cox 1970; Anderson 1972) provide methods for incorporating both of these components. The a posteriori probability of disease may be estimated for a patient on the basis of both current measurement of patient characteristics and prior information. The parameters of the logistic model may be estimated on the basis of a calibration trial. In practice, not one but several sets of measurements of one characteristic of the patient may be made on a questionable case. These measurements typically are correlated; they are far from independent. How should these correlated measurements be used? This paper presents a method for incorporating several sets of measurements in the classification of a case.     

Race,Sex, and Perception of the Occupational Opportunity Structure among College Students*

Questionnaires were administered to 70 black female, 75 black male, 1,457 white female and 1,429 white male university freshmen. In order to test three alternative theories regarding perceptions of discrimination, analyses of variance related sex, race, and SES to total scores of perceived occupational discrimination against blacks (BDST) and against women (WDST). Blacks perceived significantly more discrimination against black people than did whites; neither sex nor SES differentialed scores on BDST. Black females and white males perceived significantly more discrimination against women than did white females; black females had the highest and white females the lowest WDST scores. A discriminant analysis on white females indicated that high WDST scorers were characterized by an “underdog syndrome” whereas low WDST scorers held internal, individualistic values. The findings indicated the greatest support for the formulation that differential anticipatory socialization into the role of “a person who is discriminated against” characterized white females who perceived more or less discrimination against women.     

Validation of an inferential approach for the measurement of illegitimacy

An inferential model which utilizes surname comparisons in inferring legitimacy status is developed and validated. Criterion validation is employed to assess the level of agreement between the inferential approach and the conventional reporting procedure. Data for the analysis are based on a sample of birth certificates contained in files of the National Center for Health Statistics for calendar year 1973. Results indicate that despite excessive error within some categories of the control variables, the inferential method is generally adequate to obtain reliable estimates of illegitimacy.