THINKING MORE BROADLY AND MORE DEEPLY ABOUT EVALUATION
Evaluation as a social science is evolving. New models are based on development, climate change initiatives, large domestic and international government programs, community-based initiatives in diverse populations, and natural disaster studies. The logic model, one of the models best understood by scientific reviewers, has benefits in organizational thinking but may not be the best model for complex problems.
The value and utility of qualitative data are widely misunderstood. Differing from anecdotal evidence, qualitative data in the form of opinions, examples, critical incidents, and stories can a provide rigorous and in-depth understanding of projects and programs. Likert-scale data, long beloved by people ‘evaluating’ a workshop or program, are rife with assumptions, biases, and superficial analysis.
In both scientific and educational programs, clear articulation of goals is essential to setting up plans to evaluate success. Commonly, activities are thought of as outcomes and goals and, if stated at all, are confused with unmeasurable, long term visions which cannot be measured within the scope of the project. Particularly, the differences of the project’s research and its evaluation are not easy to decipher.
Project management is essential to a successful project. The role of evaluator in monitoring the timeline and activities of a project should not replace the responsibilities of a project’s leader.