Evaluation and the Public Good















Video

Note: This Eval Cafe will be two hours in length, from noon-2pm on Wednesday September 28 in Room 210, Bernhard Center.

Evaluation takes place in complex ecologies where we evaluators play important roles in building better organizations and communities and in creating opportunities for a better world. At the core of our work is an attention to relationships, responsibilities, and relevance that make up these complex program, policy (and political), institutional, fiscal, environmental, sociocultural ecologies.

The concern for relationships obliges evaluators to consider questions such as:  what key interactions, variables, stakeholders, or consumers do we need to attend in an evaluation? The attention to responsibilities requires evaluators to consider questions such as: to whom do we owe what in evaluations? The need for relevance suggests that evaluations consider questions such as: how do we make evaluations beneficial and meaningful to the diverse communities, contexts, and cultures in which we work?

The presentation will focus on questions that evaluators, those who use evaluations, and those concerned with the public good face and should be concerned about, including ways to promote the liberatory role of evaluation in the service of public values, interests, and good.

Cross-lagged Panel Analysis of Alcoholics’ Anonymous Effects on Drinking






Video

Evaluation studies consistently report correlations between Alcoholics Anonymous (AA) participation and less drinking or abstinence. Randomization of alcoholics to AA or non-AA is impractical and difficult. Unfortunately, non-randomization studies are susceptible to artifacts due to endogeneity bias, where variables assumed to be exogenous (“independent variables”) may actually be endogenous (“dependent variables”). A common artifact is reverse causation, where reduced drinking leads to increased AA participation, the opposite of what is typically assumed. The presentation focuses on a secondary analysis of a national alcoholism treatment data set, Project MATCH, that consists of multi-wave data on AA participation and severity of drinking over a 15 month period. An autoregressive cross-lagged model was formulated and indicated the predominance of AA effects on reduction of drinking, not the reverse. The presentation will be accessible to evaluators without advanced statistical training.

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