The building-blocks/types of evidence used in outcomes systems (Redirect)

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  • Paul Duignan Website: http://outcomestheor… Dr Paul Duignan is an expert outcomes specialist and program evaluator. He has worked in many sectors and with many organizations advising them on outcomes, evaluation, strategy, stakeholder processes, evidence-based practice an outcome-focused contracting. In particular he has extensive experience in the public and community health sectors, in all types of social programs and he has had some experience in the environmental, sustainability and related sectors. He has worked on outcomes and evaluation issues for organizations ranging from the IMF on the international scene through to many government ministries, departments and agencies, and with small community providers within local communities. He has taught evaluation at postgraduate level at several universities. His PhD developed an integrated framework for program evaluation. He presents at workshops, develops evaluation plans and develops outcomes models for a wide variety of organisations in many sectors. He has won international evaluation awards for his work, was the sole New Zealand Fulbright Senior Scholar in 2005 (working at the Urban Institute in Washing D.C. on outcomes issues). He has developed the area of outcomes theory (www.outcomestheory.org) integrated user-friendly approach to outcomes and evaluation called DoView Planning and been involved in the development of DoView Outcomes and Evaluation software (http://www.doview.com). His outcomes and evaluation blog can be found at http://www.outcomesblog.org. A more detailed Curriculum Vitae can be found here. The type of workshop and seminars Dr Duignan runs are described here. You can comment on and discuss his work on the DoView Visual Outcomes Planning group on Linkedin.

This article is now located at https://outcomestheory.wordpress.com/2010/09/16/207/

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  1. The building-blocks/types of evidence used in outcomes systems (Redirect)
  2. Types of claims able to be made regarding outcomes models (intervention logics/theories of change) (Redirect)
  3. Reconstructing a Community – How the DoView Visual Planning methodology could be used (Redirect)
  4. Simplifying terms used when working with outcomes (Redirect)
  5. Impact evaluation – where it should and should not be used (Redirect)
  6. Types of economic evaluation analysis (Redirect)
  7. Unequal inputs principle (‘level playing field’) principle
  8. Welcome to the Outcomes Theory Knowledge Base
  9. Organizational Requirements When Implementing the Duignan Approach Using DoView Within an Organization
  10. M & E systems – How to build an affordable simple monitoring and evaluation system using a visual approach
  11. Evaluation of Healthcare Information for All 2015 (HIFA2015) using a DoView visual evaluation plan and Duignan’s Visual Evaluation Planning Method
  12. DoView Results Roadmap Methodology
  13. Problems faced when monitoring and evaluating programs which are themselves assessment systems
  14. Reviewing a list of performance indicators
  15. Using visual DoView Results Roadmaps™ when working with individuals and families
  16. Proving that preventive public health works – using a visual results planning approach to communicate the benefits of investing in preventive public health
  17. Where outcomes theory is being used
  18. How a not-for-profit community organization can transition to being outcomes-focused and results-based – A case study
  19. Duignan’s Outcomes-Focused Visual Strategic Planning for Public and Third Sector Organizations
  20. Impact/outcome evaluation design types
  21. Introduction to outcomes theory
  22. Contracting for outcomes
  23. How a Sector can Assist Multiple Organizations to Implement the Duignan Outcomes-Focused Visual Strategic Planning, Monitoring and Evaluation Approach
  24. How community-based mental health organizations can become results-based and outcomes-focused
  25. Paul Duignan PhD Curriculum Vitae
  26. Integrating government organization statutory performance reporting with demands for evaluation of outcomes and ‘impacts’
  27. Non-output attributable intermediate outcome paradox
  28. Features of steps and outcomes appearing within outcomes models
  29. Principle: Three options for specifying accountability (contracting/delegation) when controllable indicators do not reach a long way up the outcomes model
  30. Outcomes theory diagrams
  31. Indicators – why they should be mapped onto a visual outcomes model
  32. What are Outcomes Models (Program logic models)?
  33. Methods and analysis techniques for information collection
  34. What are outcomes systems?
  35. The problem with SMART objectives – Why you have to consider unmeasurable outcomes
  36. Encouraging better evaluation design and use through a standardized approach to evaluation planning and implementation – Easy Outcomes
  37. New Zealand public sector management system – an analysis
  38. Using Duignan’s outcomes-focused visual strategic planning as a basis for Performance Improvement Framework (PIF) assessments in the New Zealand public sector
  39. Working with outcomes structures and outcomes models
  40. Using the ‘Promoting the Use of Evaluation Within a Country DoView Outcomes Model’
  41. What added value can evaluators bring to governance, development and progress through policy-making? The role of large visualized outcomes models in policy making
  42. Real world examples of how to use seriously large outcomes models (logic models) in evaluation, public sector strategic planning and shared outcomes work
  43. Monitoring, accountability and evaluation of welfare and social sector policy and reform
  44. Results-based management using the Systematic Outcomes Management / Easy Outcomes Process
  45. The evolution of logic models (theories of change) as used within evaluation
  46. Trade-off between demonstrating attribution and encouraging collaboration
  47. Impact/outcome evaluation designs and techniques illustrated with a simple example
  48. Implications of an exclusive focus on impact evaluation in ‘what works’ evidence-based practice systems
  49. Single list of indicators problem
  50. Outcomes theory: A list of outcomes theory articles
  51. Standards for drawing outcomes models
  52. Causal models – how to structure, represent and communicate them
  53. Conventions for visualizing outcomes models (program logic models)
  54. Using a generic outcomes model to implement similar programs in a number of countries, districts, organizational or sector units
  55. Using outcomes theory to solve important conceptual and practical problems in evaluation, monitoring and performance management
  56. Free-form visual outcomes models versus output, intermediate and final outcome ‘layered’ models
  57. Key outcomes, results management and evaluation resources
  58. Outcomes systems – checklist for analysis
  59. Having a common outcomes model underpinning multiple organizational activities
  60. What is best practice?
  61. Best practice representation and dissemination using visual outcomes models
  62. Action research: Using an outcomes modeling approach
  63. Evaluation questions – why they should be mapped onto a visual outcomes model
  64. Overly-simplistic approaches to outcomes, monitoring and evaluation work
  65. Evaluation types: Formative/developmental, process and impact/outcome
  66. Terminology in evaluation: Approaches, types (purposes), methods, analysis techniques and designs
  67. United Nations Results-Based Management System – An analysis
  68. Selecting impact/outcome evaluation designs: a decision-making table and checklist approach
  69. Definitions used in outcomes theory
  70. Balanced Scorecard and Strategy Maps – an analysis
  71. The error of limiting focus to only the attributable
  72. Reframing program evaluation as part of collecting strategic information for sector decision-making
  73. Distinguishing evaluation from other processes (e.g. monitoring, performance management, assessment, quality assurance)
  74. Full roll-out impact/outcome evaluation versus piloting impact/outcome evaluation plus best practice monitoring
  75. References to outcomes theory
  76. Techniques for improving constructed matched comparison group impact/outcome evaluation designs

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