Category Archives: Causal inference strategies

Investing In Innovation – a need to apply what we know about evidence-based policy

Posted on March 9, 2010 by Patricia Rogers

The new funding rules for the US Department of Education’s $650 million Investing in Innovation appear based on an out-of-date model of evidence-based policy and hierarchy of evidence. Recent developments in our understanding of evidence-based policy would suggest changes are needed to the selection criteria and to how successful proposals will be evaluated. Continue reading →

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Why genuine evaluation must include causal inference

Posted on February 20, 2010 by Jane Davidson

Is it OK to just document whatever changes happen to people over the life of the program and summarize these in an evaluation report under a heading called “Outcomes”? What if you point out in a disclaimer that you haven’t got any evidence that the program contributed to them? What if you don’t exactly call them “outcomes”? What if it’s just a low-budget evaluation? Answers: No, no, no, and NO! Here’s why … Continue reading →

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