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Common Measures Project Introductory Measurement and Quality Training Course

Common Measures Project Introductory Measurement and Quality Training Course. Chelmsford, MA September 28, 2006. Introductions. About me: Several years experience with measurement and QA related to ERP and other innovative programs Led the development of several relevant guides and tools

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Common Measures Project Introductory Measurement and Quality Training Course

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  1. Common Measures ProjectIntroductory Measurement and Quality Training Course Chelmsford, MA September 28, 2006

  2. Introductions About me: • Several years experience with measurement and QA related to ERP and other innovative programs • Led the development of several relevant guides and tools • Work closely with statisticians and QA professionals • I am a policy specialist, NOT a statistician or QA professional, so... • Hopefully you will understand what I say, but • I may leave some questions unanswered for now

  3. Training Agenda • Introduction and Overview • Data Quality Indicators • Statistics, Part I: Intro to Statistics in ERP • Statistics, Part II: Benchmarking and Comparison • Establishing the Universe • Lunch • Principles of Good Data Collection • Working with Secondary Data • Major Exercise: Choosing Data Sources

  4. Why Measurement and Quality Training? Ultimate goal of project: • To enable participants to measure the performance of a group or groups... • With sufficient quality... • To enable intra- and particularly interstate comparisons

  5. About the Training • Focus on ERP statistical measurement approaches • Lessons from training applicable to other approaches • Training should help consider potential use of other kinds of data sets • Focus on comparison of results • Both intrastate and interstate • Aggregation of results NOT covered

  6. Why Emphasize QA? • Ensure adequate planning in advance so that: • Analyses will support anticipated decision-making • Experimental design and data collected will support analyses • Get the right results, defensible results • Avoid surprises • Better ensure that data represent actual conditions

  7. EPA QAPP Requirements • EPA’s outcomes/measures policy requires organizations receiving EPA financial assistance to assess environmental results • Congress driving better accountability and stronger link to EPA strategic goals in Agency Assistance Agreement programs • Data collection (or modeling) assumed required in order to assess results • EPA QA policy requires Quality Assurance Project Plans (QAPPs) for any assessments collecting data

  8. Common Measures QAPP Commitments • States committed to agreeing on and living up to QA plan • No data collection before QA plan is approved

  9. Flow of Training Modules • Concepts are very interrelated • Each module builds upon previous modules • Ask questions—but they might be tabled until later • Limited amount of time to cover a lot of material

  10. Many Examples Drawn From Homework Examples include: • A variety of media • A variety of sectors/groups • Emphasis on leading candidate groups (SQGs, auto body shops, dentists, USTs) • Use of examples is NOT meant to endorse those groups • Today’s goals do NOT include picking groups or indicators

  11. For more information… Contact Michael Crow • E-mail: mcrow@cadmusgroup.com • Phone: 703-247-6131

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