Suchergebnisse

This study explores the relationships between program practices and program impacts on earnings and welfare payments in California's welfare-to-work program, known as GAIN. Practices and impacts (based on a random assignment experiment) are compared across six counties and (on some measures) 20 local offices. The findings challenge some popular theories of "what works best" in welfare-to-work programs and illustrate how comparisons of a small number of sites within multisite studies can help researchers "get inside the black box, " a common problem in evaluation research.

This article describes a place-based research demonstration program to promote and sustain employment among residents of selected public housing developments in six U.S. cities. Because all eligible residents of the participating public housing developments were free to take part in the program, it was not possible to study its impacts in a classical experiment, with random assignment of individual residents to the program or a control group. Instead, the impact analysis is based on a design that selected matched groups of two or three public housing developments in each participating city and randomly assigned one to the program and the other(s) to a control group. In addition, an eleven-year comparative interrupted time-series analysis is being used to strengthen the place-based random assignment design. Preliminary analyses of baseline data suggest that this two-pronged approach will provide credible estimates of program impacts.

This article describes a place-based research demonstration program to promote & sustain employment among residents of selected public housing developments in six U.S. cities. Because all eligible residents of the participating public housing developments were free to take part in the program, it was not possible to study its impacts in a classical experiment, with random assignment of individual residents to the program or a control group, instead, the impact analysis is based on a design that selected matched groups of two or three public housing developments in each participating city & randomly assigned one to the program & the other(s) to a control group, in addition, an eleven-year comparative interrupted time-series analysis is being used to strengthen the place-based random assignment design. Preliminary analyses of baseline data suggest that this two-pronged approach will provide credible estimates of program impacts. 4 Tables, 6 Figures, 23 References. [Reprinted by permission of Sage Publications Inc., copyright 2005 The American Academy of Political and Social Science.]

AbstractThis paper addresses the question: How does implementation influence the effectiveness of mandatory welfare‐to‐work programs?
Data from three large‐scale, multi‐site random assignment experiments were pooled; quantitative measures of program implementation
were constructed; and multilevel statistical modeling was used to examine the relationship between program implementation and effects on
short‐term client earnings. Individual‐level data were analyzed for 69,399 sample members and group‐level implementation data were
analyzed for 59 local programs. Findings indicate that, other things being equal, earnings effects are increased by: an emphasis on quick client
employment, an emphasis on personalized client attention, staff caseloads that do not get too large, and limited use of basic education. Findings also
show that mandatory welfare‐to‐work programs can be effective for many types of people, and that focusing on clients who are especially
job‐ready (or not) does not have a consistent influence on a program's effectiveness. © 2003 by the Association for Public
Policy Analysis and Management