A review of generalization methods used in empirical social work literature

This article reviews methods currently used for generalization of findings, based on a review of a representative sample of empirical research studies drawn from three major social work research journals: Social Work Research , Journal of Social Service Research , and Research on Social Work Practice , over a 10-year period (1996–2005). Findings revealed a greater discussion of generalizability limitations in comparison with the past, and other types of generalization methods such as conceptual generalizations and qualitative comparisons of study results with those of other studies. Relatively low usage of quantitative comparisons of sample to population and replication procedures was detected. Implications of these trends are discussed and approaches for improvements are explored.     

A NOTE ON MODELING PROJECT INTERDEPENDENCE IN RESEARCH AND DEVELOPMENT*

This note is concerned with the problem of resource allocation under uncertainty in a research and development laboratory. A distinction is defined between project interrelationships that are specific (or internal) to certain projects and interrelationships resulting from external environmental factors. Formulations are introduced that allow both types of interrelationships to be formally included in a resource allocation optimization model. In the case of external environmental factors, an example is presented and analyzed.     

What probability should a jury address?

Probability of guilt is not the criterion on which a verdict in a criminal trial should be based, says Tony Gardner-Medwin . The courts, quite sensibly, do not even allow access to some of the background evidence on which a proper assessment of this probability should be made. He argues that a more satisfactory criterion is the probability, or degree of belief, that the evidence could have arisen without guilt.     

Positive youth development initiatives in Chicago

Chicago has put in place a number of interwoven structures supporting young people during out-of-school hours, emphasizing alignment between community-based organizations and public entities.     

Bayesian volumetric calibration: an application of reversible jump Markov chain Monte Carlo methods

Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.