Although collaboration is recognized as an effective means to address multifaceted community issues, successful collaboration is difficult to achieve and failure is prevalent. To effectively collaborate, collaborators must recognize the strengths and weaknesses within their own efforts. Using Mattessich and colleagues' work as a springboard,…

Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's…

Nonprofit organizations are under great pressure to use evaluations to show that their programs "work" and that they are "effective." However, empirical evidence indicates that nonprofits struggle to perform useful evaluations, especially when conducted under accountability pressures. An increasing body of evidence highlights…

Despite the claimed success of the 1996 Welfare Reform, little research using multivariate regression has examined changes in multiple public safety-net programs. Thus, we still do not know whether public safety-net programs for the poor have shrunk or increased nationwide, along with the sharp declines in cash assistance. Using state-level data…

Despite our best efforts as evaluators, program implementation failures abound. A wide variety of valuable methodologies have been adopted to explain and evaluate the "why" of these failures. Yet, typically these methodologies have been employed concurrently (e.g., project monitoring) or to the post-hoc assessment of program activities.…

A synthesis of the state of the literature is discussed in this section of the Evaluation Capacity Building (ECB) forum organized around four critical questions: (1) What is ECB? (2) How can we make it happen? (3) How do we know it is happening? and (4) What is its impact? The authors argue that to move the field of ECB forward we need to envision…

There is a growing call for evaluation capacity building (ECB); although the area currently lacks a rich research base, there are few robust methods and practice through which to define it. The argument in this article is that the impact of evaluation is mediated by program stakeholders' engagement in evaluation activities. This mediation…

In this Exemplars case, the fifth and final under the direction of the current coeditors, the authors present a reflective account of an ongoing, complex, multiyear, multinational monitoring and evaluation (M&E) system conducted for African Women in Agricultural Research and Development (AWARD), an international development program. The…

Program evaluation is recognized as an essential skill set for practitioners in service-related fields, such as education, nonprofit management, social work, and public health. Recently, the need for a public workforce trained in evaluation has increased and is driven primarily by our nation's emphasis on accountability during a time when…

Performance-based accountability along with budget tightening has increased pressure on publicly funded organizations to develop and deliver programs that produce meaningful social benefits. As a result, there is increasing need to undertake formative evaluations that estimate preliminary program outcomes and identify promising program components…

Using exogenous characteristics to identify endogenous subgroups, the approach discussed in this method note creates symmetric subsets within treatment and control groups, allowing the analysis to take advantage of an experimental design. In order to maintain treatment--control symmetry, however, prior work has posited that it is necessary to use…

To answer "what works?" questions about policy interventions based on an experimental design, Peck (2003) proposes to use baseline characteristics to symmetrically divide treatment and control group members into subgroups defined by endogenously determined postrandom assignment events. Symmetric prediction of these subgroups in both…

Joseph S. Wholey is Professor Emeritus in the University of Southern California's (USC) School of Public Policy, Planning, and Development. He received his BA from Catholic University, Phi Beta Kappa and his MA in mathematics and PhD in philosophy from Harvard University. His work focuses on the use of strategic planning, performance measurement,…

Sweden has a low prevalence of bullying and Swedish schools are legally obliged to have anti-bullying policies. Many commercial programs are available. A mixed methods, quasi-experimental, concurrent evaluation of 8 programs, chosen from a pool of 21 widely used anti-bullying programs, was planned. Preliminary data, based on 835 stakeholder…

Researchers and policy makers are increasingly dissatisfied with the "average treatment effect." Not only are they interested in learning about the overall causal effects of policy interventions, but they want to know what specifically it is about the intervention that is responsible for any observed effects. In the U.S., using…