'Unintended outcomes' presentation slideshows

CHAPTER 9

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CHAPTER 9

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COMPLEX THINKING

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CPHA Halifax, Nova Scotia June 3, 2008 Linda Martin, Saskatoon Health Region

523 views • 33 slides

Review 12/10 The course themes chapters 11-14, 16,17 Feagin, Pettigrew, Einstein Review questions.

Review 12/10 The course themes chapters 11-14, 16,17 Feagin, Pettigrew, Einstein Review questions. Materials to review. The exam is Dec. 16 at 8:00. The form of the exam will be the same as the mid-term. 1000-13 -14 in B 2001; 1000-16 in B 2010

456 views • 32 slides

Evaluation Revisited: Improving the quality of evaluative practice by embracing complexity

Implications of complication and complexity for evaluation Patricia J. Rogers CIRCLE (Collaboration for Interdisciplinary Research, Consulting and Learning in Evaluation) Royal Melbourne Institute of Technology, Australia Patricia.Rogers@rmit.edu.au.

421 views • 30 slides

Evaluation Revisited: Improving the quality of evaluative practice by embracing complexity

Implications of complication and complexity for evaluation Patricia J. Rogers CIRCLE (Collaboration for Interdisciplinary Research, Consulting and Learning in Evaluation) Royal Melbourne Institute of Technology, Australia Patricia.Rogers@rmit.edu.au.

304 views • 30 slides

396 views • 29 slides

A Case Study of the use of Logic Models for Planning and Evaluation in

405 views • 27 slides

Introduction to the Scratch Programming Environment

459 views • 26 slides

Wading through molasses

Wading through molasses. The unintended outcomes of a non-systemic approach to family law, child protection and domestic violence legislation. Amanda Lee-Ross Manager, CRDVS. A systemic approach. System: a collection of inter-related parts that work together by way of some driving process

425 views • 24 slides

Impact Evaluations in Good Times and Bad

Impact Evaluations in Good Times and Bad. Forum Kajian Pembangunan March 22, 2011 Firman Witoelar , DECHD, Discussant. Issues. Selection biases Spillovers and hidden/unintended outcomes Timing of impacts Data requirements. Selection biases. - Non-random program placement

273 views • 10 slides