Data Quality refers to the collection of relevant, accurate data that can help state and local program staff answer questions about recruitment, retention, and effectiveness of adult education programs and components. Data Use refers to the use of that data to improve program performance. Below are examples of products to help you with Data Quality and Data Use.
Data Quality Guide, Trainings, and Self-Assessment Checklist
A guide and training materials are available to help state and local program staff clarify the data collection process and ensure the consistent collection of quality data.
Data Detective Templates, Training, and Guide
Materials from the 2006 summer Data Detective training provide guidance on the policies and procedures for collecting and using data, including tools that help state and local staff question and analyze data in three areas: assessment, setting goals, and achieving goals.
NRS Tips: Improving Program Performance Through Standard Setting
Find tips on how to set targets for expected performance in educational gain, goal attainment, assessment policies, and attendance. This publication presents the steps for standard setting as well as examples of standard setting in two states.