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PART VI EVALUATING RESULTS
Pages 47-52

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From page 47...
... Random controlled trials should be attempted, but it is important to avoid forming unrealistic expectations about what evaluation methodology can accomplish in these situations. Alternative evaluation methods are unlikely to meet the rigorous standards of evidence obtained through random assignment of individuals to treatment and control groups.
From page 48...
... First, social interventions on the level of the egocentric network can, in theory, be evaluated using experimental designs in which some egocentric networks are randomly assigned to one experimental condition and others to a different condition. Second, classical experimental designs can, in theory, be applied to the evaluation of social interventions focused on communities, neighborhoods, the patrons of sets of commercial establishments such as gay bars, or other such aggregations of large numbers of at-risk persons.
From page 49...
... It can require high budgets to conduct interventions in large numbers of communities and to collect data on relevant outcome measures from representative samples of the persons at risk in each community. Furthermore, in some instances, those in position of authority or private citizens on their own initiative might not accept the intervention assignments and might implement alternative interventions with their own resources (or disrupt the project)
From page 50...
... A possible research agenda related to the evaluation of social science interventions was also discussed by workshop participants. For example, research on the evaluation of sociometric social network interventions is a high priority on two levels: first, to see if changing network structures can reduce risk behavior; and second, to see if changing these structures can reduce the
From page 51...
... Finally, the social epidemiology research needs addressed in Section I of this report directly affect the quality of the evaluation outcomes. A national program of serial, cross-section measurement of risk behavior, seroprevalence levels, and network and normative characteristics of representative samples of major at-risk groups in a large number of cities could help evaluators detains whether interventions actually were delivered and whether they had the desired impact.


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