Quality Initiatives Research and Evaluation Consortium

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Do practitioners working at program sites at different levels/tiers of the QRIS vary on key characteristics including language spoken, highest level of education attained, tenure, and hourly wage?

Data Elements


Work Experience

Program Site

Quality Rating and Improvement System (QRIS)

General Analysis Recommendations

Separate program sites into quality categories by using the data element QRIS Score. The number of QRIS levels will vary by state so determining the number of levels at the top tiers is an individual decision left to the states.  For each of the calculations below, create categories like High/Low or High/Middle/Low of quality and compare the characteristics for each category.

Highest Level of Education: Using the data element Degree or Certificate Type calculate the most common degree level by dividing the total number of “Yes” responses for each degree type by the total number of practitioners with a “Yes” response for any of the types. The degree type with the highest percentage is the most common degree.

Average Annual Compensation: Average the data element Hourly Wage and compare across each of the quality categories.

Tenure: Average the data element Years in Field and compare across each of the quality categories.

Language Spoken:  The Common Education Data Standards (CEDS) provides a list[i] of most languages other than English a practitioner might speak. This list is the data element Practitioner: Language Code. Choose the languages most common in the state and total the number of “Yes” responses for those languages.  Compare across each of the quality categories.