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assignment” which asked them to identify preferred groups to measure and to develop a preliminary list of possible indicators and the data quality issues associated with those indicators to determine whether their group of choice was viable for the measurement project. See Section 2 for summer work assignments.

1.4 FURTHER TRAINING ON DATA QUALITY AND STATISTICAL APPROACHES

The Project Management Team contracted with a firm to provide further data quality training on the use of ERP-type statistical methods, data collection instruments, sampling procedures and data quality indicators. This meeting took place on September 28, 2006 and the course addressed the following issues:

  • Overview of the six Data Quality Indicators that should be considered in any measurement project: precision, bias, completeness, representativeness, comparability and sensitivity.

  • Use of statistics in measuring innovative policy approaches, particularly focusing upon the techniques used in the Environmental Results Program (this two-part session included an introduction to statistics, benchmarking and comparisons).

  • Identification of the sampling frame, also known as establishing the universe of facilities.

  • Principles of good data collection, including the characteristics of good data collection instruments.

  • Quality considerations specific to the use of secondary data.

  • An interactive session where states worked in smaller groups on applying the

concepts that were learned.

See Appendix C for Introductory Training and Quality Measurement information.

    • 1.5

      OBSERVATIONS AND LESSONS LEARNED FROM PHASE 1

      • The kick-off meeting was helpful to states in defining goals and objectives for the project. This first meeting was a critical step in establishing common understandings and a vision for the 3 year project.

  • Some of the state participants initially thought the project was going to involve a full ERP, i.e. certification, outreach and measurement program. Phase 1 helped clarify that the States Common Measures Project would focus on performance measurement across states, not compliance certification or other ERP techniques.

The States Common Measures Project Final Report

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