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Home > Systemwide > Service Improvement/Systems Reform > Improving Practices > Program Evaluations: Collecting & Analyzing Data Collecting & Analyzing Data Note: Child Welfare Information Gateway provides this information as a resource. Our library does not define or endorse specific criteria for program evaluations.
There are two types of data:
Both types of data are needed for a thorough outcome evaluation. Data collection For each indicator you wish to measure, you may collect data through:
Many instruments exist that have already been validated - researchers have confirmed they measure what they are intended to measure. Some are available for free and others for purchase. You will also need to develop a plan for who will collect the data, how often, and how the data will be stored (e.g., a database). Data analysis Analysis transforms raw data (e.g., lists of numbers or interview notes) into information that is easier to understand. Spreadsheets, databases, and data analysis software often are used. Specific analytic techniques are used for specific types of data. This aspect of program evaluation is almost always best performed by a professional evaluator or researcher. The final step in data analysis is interpretation--the data are given meaning. The results of the analysis should answer your questions about the program's effectiveness.
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