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  • Data verification refers to the procedures needed to ensure that a set of data is a faithful reflection of all the processes and procedures used to generate the data.

  • Lack of integrity affects all aspects of data interpretation, especially data used for decision making.

The charts below were used in the training for project states to describe the data characteristics that can affect data quality:

Environmental Quality Data

Performance Data

Measuring large incremental differences

Easier to get needed precision

Measuring concrete requirements

Data Characteristics that Influence Precision

Measuring subjective requirements

Measuring small incremental differences

Harder to get needed precision

Environmental Quality Data

Performance Data

Measuring large amounts

Easier to get needed sensitivity

Measuring whether or not performance occurred

Data Characteristics that Influence Sensitivity

23

Measuring small amounts

The States Common Measures Project Final Report

Harder to get needed sensitivity

Measuring gradations in performance

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