Threshold uses both qualitative and quantitative data to provide strong evidence for program change. In addition to the participatory nature of building evaluations, the types of data and analysis depend upon the problem to be explored, budgetary realities and time constraints.
- Identify or update Goals and Outcomes. Your project may need revision or re-direction; facilitated and systematic discussion of the Mission, Goals or Outcomes would be a useful starting point.
- Provide details of methods with budgetary detail. Methods such as these provide data for analysis of the problem that interests you about your program: Case analysis, interview, survey, direct observation, focus groups
- Develop Evaluation Plan with indicators, data sources and methods. Using one data source to verify the results of other information triangulates to build a strong basis for making program changes. Balancing numbers (quantitative) data against the stories from the field (qualitative) develops a wealth of information for future steps.
- Develop Logic Model or a Theory of Change as a guiding consensus document. Proposal of a sequence from activities to short- and long-term outcomes ties your project together. Most importantly, discussion and consensus with staff and stakeholders brings their best effort to improve services.
- Collect data to address the evaluation questions. Conduct data collection process using interview, focus groups, problem posing elicitation of responses, and surveys. Quantitative descriptive methods such as data mining, psychometric measures and pre and post test comparisons are examples of additional means of collecting data depending upon the agreed upon plan and theory of change.
- Analyze data and present findings. The analysis of qualitative or quantitative data and presentation of the results to an interested audience allow a program to interpret and use results.