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Always begin your analysis by reviewing the ultimate goal of your evaluation and the specific research questions you are trying to answer. To be useful to stakeholders and decisionmakers, data analysis should lead to straightforward, readily interpretable information about program processes and effectiveness.

Analytical techniques range from basic counts to content analysis to complicated inferential statistical analyses. After being collected, data typically are cleaned and entered into databases or spreadsheets. Next, statistical or qualitative analysis software is used to conduct various analyses. Depending on the type of data, you might conduct quantitative analysis, qualitative analysis, or both.

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