Category Archives: Causal inference

The Rise and Risk of Evidence

Our guest blogger this week is Katherine Hay, a senior member of the Evaluation Unit of the International Centre for Development Research. Based in New Delhi, India, she is an expert on the role of evaluation in development in South Asia. … Continue reading

Posted in Appropriate inference, Causal inference, Causal inference strategies, Development | Tagged , | 4 Comments

Challenges in evaluation – Call for nominations

What are the big, enduring challenges in evaluation? Where are we making progress? The ‘BetterEvaluation’ project has announced a Request for Challenges (RfC), with a particular emphasis in this round on evaluation in the areas of Capacity Development, Climate Change … Continue reading

Posted in Appropriate criteria and standards, Appropriate inference, Appropriate measurement, Appropriate reporting, Causal inference | Tagged | Leave a comment

Australian book launch of ‘Purposeful Program Theory’, Canberra 17 March

After years working on this with my co-author Sue Funnell, I’m looking forward to the launch of the book Purposeful Program Theory: Effective Use of Theories of Change and Logic Models in Canberra next Thursday (Yes, on St Patrick’s Day). … Continue reading

Posted in Causal inference, Evaluation team composition, Evaluation Theory, Recommended books, Uncategorized, Use of evaluation | Tagged , , | Leave a comment

Strengthening Evaluation Effectiveness – seminar, Washington DC

I’m in Washington DC this week, after teaching a course on Using Program Theory and Logic Models for Evaluation at The Evaluators Institute. Fortunately I will be able to stay on for a seminar being presented this coming Wednesday by … Continue reading

Posted in About/Definition, Causal inference, Civil society engagement, Professional development, The client's role | Tagged | Leave a comment

Proofiness, causuistry, randumbness and regression to the moon

Looks like another book to add to the possible reading pile, based on the recent article in the NY Times. What is “proofiness?” It’sthe mathematical analog of Stephen Colbert’s “truthiness.” It’s using numbers to prove what you know in your … Continue reading

Posted in Appropriate measurement, Appropriate reporting, Causal inference | 3 Comments