Outcomes Measurement
Data Collection
Methods |
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Creating a Plan for Your Outcome Measurement System
Page: 1 | 2 Data Collection Procedures
and Planning
To finish your planning work, a number of procedural issues need
to be considered. First, who will collect the data? How will you
recruit these data collectors? What steps will they need to take
to collect the data? How will you train them? Finally, who will
be responsible for monitoring the data collection process to ensure
you are getting what you need? It’s important to answer each
of these questions during your planning. You don’t want to
be surprised halfway through the process to discover your three-month
follow-up surveys were not mailed out because you didn’t identify
who would do so!
Have you prepared your clients (the FBOs and CBOs you work with) for data collection? Do they know that you will be collecting data, either at the time of service or in follow-up? Do they understand why it is important to you and how you intend to use the data? Organizations often have outcome reporting requirements themselves, so they usually are responsive if they have been alerted to your needs ahead of time. Advising them in advance about your data collection plans will help increase their willingness to participate during implementation.
Finally, when you put together your outcomes, indicators, data collection methods, frequency and schedule of data collection as well as your procedures, you will have created your plan for outcome measurement. Worksheets to assist you with your evaluation planning are in the Appendix.
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Confidentiality and Informed
Consent
Anonymous and confidential do not mean the same thing. Anonymous
means you do not know who provided the responses. Confidential
means you know or can find out who provided the responses, but you
are committed to keeping the information to yourself.
You must ensure that you protect the confidentiality of any individual’s data or comment. It is easy to make your surveys anonymous, but if you want to track people over time, you’ll likely need to attach ID numbers to each person from whom you collect, keeping a list of the names and numbers in a locked file.
It is important to inform people that you are measuring your program’s outcomes and may use data they provide in some way. You must let them know that their participation is voluntary and explain how you will maintain the confidentiality of their data.9
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Data
Collection Methods |
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