The aims of population statistics and demographic research

A detailed program for the improvement of population statistics and for the development of demographic research is presented, with particular reference to the USSR. Topics covered include global and regional population projections, special surveys on demographic behavior, and the need for improvements in migration data.     

Public opinion and the privatization of welfare: some theoretical implications

The social policy of the Thatcher government is characterized by an abrupt shift in the direction of the private sector. To what extent does this reflect what people want? The Institute of Economic Affairs conclude from the only suitable national opinion survey that such a move is strongly supported. Our reanalysis of their data shows that this strand in public opinion can coexist with, and need not contradict, an equal public enthusiasm for state welfare. Such results have important implications for our understanding of social policy. We conclude, therefore, with a discussion of contrasting marxist and liberal accounts which seeks to show that the evidence of ambivalence in popular attitudes about the welfare state supports particular developments in theory.     

The meaning of patient satisfaction with prepaid primary health care in Israel

This paper reports the development of a self-administered Hebrew-language questionnaire for assessing patient satisfaction with primary care in Israel. Four scale measures of patient satisfaction were empirically constructed. These scales pertained to doctor conduct, doctor-patient communication, teamwork, and ease of access. In addition, a single direct question was used to measure overall satisfaction with the care. Ratings of all aspects of care were negatively skewed, with doctor-conduct and doctor-patient communication usually being the most satisfactory aspects and access the least satisfactory. It was shown that different practices, or the same practice at different points in time, can easily and meaningfully be compared, using mean satisfaction scores, measures of standard deviation, or percentages in each practice with ratings above (or below) the overall mean of all practices. The use of specific measures of patient satisfaction for comparison and intervention is discussed.     

Using macro variables in program evaluation

This paper discusses the importance of using macro-level variables for program analysis. It is argued that three types of macro variables--cultural, economic, and demographic--provide a context for evaluation, and offer alternative explanations for the success or failure of a program. The problems of causality and availability of data are discussed. Macro variables are seen to be especially useful in "meta evaluation," and in integrating the results of specific program evaluations into general conclusions.