Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…

Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…

Evidence-based programs and grassroots programs are often adapted during implementation. Adaptations are often hidden, ignored, or punished. Although some adaptations stem from lack of organizational capacity, evaluators report other adaptations happen in good faith or are efforts to better fit the local context. Program implementers, facilitators…

Evaluations are considered of key importance for a well-functioning democracy. Against this background, it is vital to assess whether and how evaluation models approach the role of citizens. This paper is the first in presenting a review of citizen involvement in the main evaluation models which are commonly distinguished in the field. We present…

Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…

For over 30 years, calls have been issued for the western evaluation field to address implicit bias in its theory and practice. Although many in the field encourage evaluators to be culturally competent, ontological competence remains unaddressed. Grounded in an institutionalized distrust of non-western perspectives of reality and knowledge…

This paper develops a novel approach called Outcome Trajectory Evaluation (OTE) in response to the long-causal-chain problem confronting the evaluation of research for development (R4D) projects. OTE strives to tackle four issues resulting from the common practice of evaluating R4D projects based on theory of change developed at the start. The…

Despite the rising popularity of big data, there is speculation that evaluators have been slow adopters of these new statistical approaches. Several possible reasons have been offered for why this is the case: ethical concerns, institutional capacity, and evaluator capacity and values. In this method note, we address one of these barriers and aim…

Premised on the idea that evaluators should be familiar with a range of approaches to program modifications, I review several existing approaches and then describe another, less well-recognized option. In this newer option, evaluators work with others to identify potentially needed adaptations for select program aspects "in advance." In…

The adversary evaluation model emerged in a context that favored democratic debate. It was successfully used in a variety of sectors following its inception, but it was abandoned once neo-liberal thinking and goal achievement approaches became dominant. It is time to give it a second chance. The judicial evaluation model (JEM) relies on human…

One of the most widely used communication tools in evaluation is the logic model. Despite its extensive use, there has been little research into the visualization aspect of the logic model. To assess the impact that design modifications would have on its effectiveness, we applied established visualization principles to revise a program model.…

Evaluation practices are continuing to evolve, particularly in those areas related to formative, participatory, and improvement approaches. Improvement science is one of the evaluative practices. Its strength is that it seeks to embrace stakeholders' and frontline workers' knowledge and experience, who are often tasked with leading improvement…

Project schedules are logic models that focus on the timing of program activities. Value derives from the fact that schedule changes are not random. Why they occur, and how long they last, can reveal information that would not be easily revealed with other approaches to evaluation. Also, using project schedules as logic models forges a strong link…

Making causal claims is central to evaluation practice because we want to know the effects of a program, project, or policy. In the past decade, the conversation about establishing causal claims has become prominent (and problematic). In response to this changing conversation about causality, we argue that evaluators need to take up some new ways…

Treatment effect estimates from a "regression discontinuity design" (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research. The disconnect between RDD population and the…