February 22, 2011 - 5:16pm
  Good information can help you design or evaluate your programs. If you complete the four steps below before gathering any data, your data is more likely to be useful and relevant.
February 22, 2011 - 5:16pm
January 26, 2011 - 5:47pm
The job you do making the world a better place is rewarding, but it can be demanding. Recruiting and managing volunteers, ensuring each participant is eligible, or obtaining support for programs are all critical aspects of working in the social sector.
January 26, 2011 - 5:40pm
When planning to integrate evaluation in your work, it can be helpful to reflect on the various responsibilities associated with evaluation:
Responsibility   Who can do this?
Identify key evaluation questions and priorities  
December 17, 2010 - 2:08pm
I have been so fortunate to meet leaders, staff, board members and participants in dozens of organizations over the years. Many have implemented a few simple steps that supported greater impact and sustainability in their organizations.
December 17, 2010 - 2:06pm
Non-profits experience unique challenges related to the implementation of new evaluations systems that depend on a host of factors, including organizational mission, size, structure and resources.  Although the idea of normalizing evaluation practice may seem daunting at times, emerging research has identified strategies for evaluation capacity building that can be applied to non-profit settings.  Here you will find a few key insights from this research. 1)      Consider the motivation for implementing a new evaluation system
December 10, 2010 - 10:11pm
Presenting Data Using Video by Danielle Dryke
November 30, 2010 - 7:29pm
Face of AEA - Meet Leah Goldstein Moses
November 18, 2010 - 2:03pm
Do you have data that you’ve never really used because you just haven’t had time? Or you used it in one way, but know you could answer even more questions? For example, you’ve given trainings or facilitated groups several times, briefly reviewed any surveys you’ve collected, but never looked at the results over time. Here are three simple tips for getting more meaning out of your data in the context of your day-to-day work.