This cluster of evaluation tasks involves collecting or retrieving data and analyzing it to answer evaluation questions about what has happened - activities, outcomes and impacts - and also important contextual information.
Tasks related to this cluster are:
Decide how to select units (e.g. individuals, organisations, time periods) from a population of interest, so that inferences can be drawn about the population.
Choose or develop measures, indicators or metrics of interest, such as performance, activities or context. (This is useful for many evaluations but in some cases rubrics which synthesise qualitative information will be more valid).
Decide how to collect or retrieve data to answer the Key Evaluation Questions.
4. Manage data
Establish processes for managing data during an evaluation, including storing and organising data, and cleaning data.
Combine qualitative data (text, images) and quantitative data (numbers) to improve the quality of findings.
6. Analyse Data
Decide how to analyse the data that have been collected or retrieved in order to answer the Key Evaluation Questions.
Decide how to visualise the data to bring clarity during analysis and/or to communicate findings.