Prediction and Prevention of Child Abuse and Neglect

A high-risk population was successfully identified by the use of perinatal screening procedures. These children encountered significantly different parenting practices than the low-risk "control" group. There were also significant differences between "High-Risk" and "Low-Risk" families on issues concerning social adjustment and mother/infant attachment. Five children in a "High-Risk Nonintervene" group required hospitalization for serious injuries thought to be secondary to abnormal parenting practices. There were no such hospitalizations in either a High Risk Intervene group or a Low Risk group. Labordelivery observations, and postpartum interviews and observations provided the most accurate predictive information; prenatal interviews and questionnaires did not add significantly. Perinatal assessment and simple intervention with families at high risk for abnormal parenting practices significantly improves the infants' chances for escaping serious hospitalized physical injury.     

Does rapid economic growth improve the human lot? Some empirical evidence

Politicians and decision-makers in both developed and developing countries have sought to maximize economic growth on the basis of the belief that this leads to advances in the quality of life. This paper seeks to test whether this belief is well-founded. An application of the Diffusion Index to time-series data collected from a rapidly growing, low income country demonstrates that while higher national income makes for greater welfare the rate of welfare enhancement is almost independent of the rate of national income growth. On the basis of these findings, it is argued that the Gross National Product by itself may not be used as a reliable measure of human welfare. Finally, this paper suggests that in order to provide the maximum quality of life for the members of a given society, its national policy should be based on a much broader conception of welfare than is currently implied by the idea of GNP growthmanship.     

The value of experiential approaches to evaluation training

The training of evaluators is an important task—important because of the good that well trained evaluators can do and because of the mischief that poorly trained evaluators can cause. There is broad agreement on the importance of producing evaluators who are methodologically versatile and organizationally savvy. To accomplish these educational ends it is necessary to supplement classroom based instruction with experiential approaches. This paper describes a theoretical model of an effective experiential educational program for training evaluators, assesses two operating programs against the requirements of the model, and reports the results of a quasi-experimental evaluation of the effectiveness of the programs in producing important educational outcomes.     

Everyday Life in Stochastic Networks1

Models of Stochastic networks may prove important tools for integrating ideas about structure with ideas about process in social theory.