The evaluation data continues beyond collecting and analysing data to determine mean values or degrees of satisfaction. After analysing the results, value judgments should be made according to evaluation criteria. Influential factors that have affected the results should be fully analysed to provide useful recommendations and lessons learned. This process is called data interpretation, which is the final step in the evaluation study process, following data collection and analysis.
The interpretation process involves two steps: evaluating the project based on the Five Evaluation Criteria and drawing conclusions based on those judgments. The first step involves evaluating a project based on the five criteria and specifying the factors influencing the results. The evaluator must identify the factors that inhibited the achievement of the objective if the effectiveness is low. The evaluator must present specific evidence drawn from survey results to all stakeholders when explaining hindering or contributing factors; otherwise, the credibility of the evaluation may decrease.
In the second step of the interpretation process, a conclusion is drawn based on the five criteria’ results. The evaluator must make a value judgment for each evaluation purpose from a comprehensive viewpoint, considering all the criteria. The evaluator must also provide evidence for the judgment from the results. In conclusion, the evaluator must re-examine the project to determine whether assumed causal relationships between project implementation and effects and whether the implementation process was appropriate.
Re-examining a project on these issues clarifies who is responsible for what and makes it possible to formulate recommendations and propose the lessons learned more specifically. This analysis is essential for internal evaluation, whose main purpose is to provide feedback to those responsible or concerned to improve project management and operation.
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