This stage of the Implementation Phase includes steps that need to be taken before data can be analyzed. These include including securing access to data sources, data collection, reviewing and “cleaning” the data, creating a “codebook” that maps response codes to response values, categorizing the data and performing initial, basic summaries of the data. If the data has no problems and appears to be complete, and if the evaluation question can be answered with simple summaries, there may be no need for further analysis. If the data is found to be flawed or incomplete, at this point you might do additional data collection. If the evaluation question and the quality of the data call for it, this stage could also include transforming data to allow for further analysis. Once the data is collected, cleaned, and meets all the necessary assumptions for further analysis, this stage is complete.