Calendar Details
Data Collection and Analysis Strategies for Program Evaluation
| Date: | Tuesday, December 2, 2008 |
| Time: | 9:30am-12:30pm |
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| Overview: |
Your program’s logic model is the starting point for defining the questions you will be answering in an evaluation project. But what are the best evaluation strategies? Should you use a focus group, a knowledge test, or a survey of your program’s participants? What kinds of issues do you need to take into account to ensure that the data you collect is valid and reflective of what you are accomplishing? Then, how do you analyze the raw data in order to come to useful and meaningful conclusions? Answering these questions is what this workshop is all about. Participants will learn: * The differences between qualitative methods (interviews and focus groups) and quantitative methods (surveys and quasi-experiments) * The basics of qualitative interviewing * Strategies for working with a focus group moderator * How to develop effective surveys that maximize response rates * The importance of making group comparisons in data analysis * The strengths and limitations of using spreadsheet programs for data analysis |
| Details: | PREREQUISITE: Before registering for this workshop, participants must have previously attended the Support Center’s “Meaningful Outcome Measurement” workshop or provide evidence of similar training; exceptions to this policy are subject to the facilitator’s discretion. |
| Facilitator: | Eric Graig |
| Fee: | One Half Day |
| Course Location: | Support Center, 305 Seventh Avenue, New York, NY 11th floor |
| Course Number: | 412 |
| Course Category: | Organizational Development |
| Facilitator's Bio: | Eric Graig is Managing Director of Usable Knowledge, LLC, a firm that provides program evaluation and capacity building to nonprofit organizations seeking to improve their effectiveness and achieve their strategic goals. He has been a volunteer facilitator at the Support Center for over six years and taught Survey Research in the Graduate Program in Applied Social Research at Queens College. |
