May 25, 2011 - 2:06pm
Program evaluation is a systematic method for collecting, analyzing, and using information to answer basic questions about a program. While there are many different types of program evaluations, and many terms are used to describe them, evaluations are typically divided into two major categories: 1)      Formative: looks at a program in progress including how they are delivered and if it meets expectations. 2)      Summative: considers a program that has already concluded and whether the program achieved its goal.
May 25, 2011 - 1:59pm
The following steps have been developed using established practices in pre-evaluation assessments. They can be used to determine whether or not your organization’s program is ready to be evaluated and provide guidance when you begin to design instruments and gather data. STEP 1: Identify the Question
May 25, 2011 - 1:55pm

Danielle Dryke (center) with Program Beneficiaries

April 26, 2011 - 2:32pm
  As an evaluator, I feel so fortunate to get to spend most of my time learning. In particular, I love that I get to spend time with people who are focused on housing, education, health, and quality of life.
April 26, 2011 - 2:29pm
Over the past few months, we have been following the discussions about public budgets as closely as anyone who works with programs that receive public funding. The stress that decision makers are under has been palpable. We have been saddened when programs that have demonstrated strong results have faced cuts, and also saddened to see people who we’ve come to know and care about face significant changes and losses.
April 12, 2011 - 9:10am
I am often asked to help organizations decide when to gather data to demonstrate outcomes.
March 24, 2011 - 1:41pm
Success in the affairs of life often serves to hide one's abilities, whereas adversity frequently gives one an opportunity to discover them.      - Horace
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

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