Predict Observe Interpret Plan with Survey Data Protocol

This data interpretation protocol is designed to help stakeholder identify what is interesting and actionable in their survey data, and to make data-informed program plans. By starting with a prediction, this protocol can help stakeholders identify new or surprising information. 

Program and Participation Data Checklist

Does your program have a comprehensive plan for collecting data on program inputs, activities, and outputs? Are you collecting and using demographic data in a way that is equity-focused and culturally responsive? Does your attendance data help you answer your pressing evaluation questions? This brief checklist can help you assess your program’s readiness for evaluation activities.

Tip Sheet: Understanding and Assessing Program Quality

A quick summary of the Youth Program Quality Assessment (YPQA), which provides the foundation for the Quality-to-Outcomes model.This resource is part of YDEKC’s Measurement Toolkit. For a more detailed analysis of program quality, and a comparison of the YPQA to Washington State’s TPEP frameworks, see our companion document for education partners.

Tip Sheet: Reporting Quantitative Data

This tip sheet summarizes ways of analyzing and reporting quantitative data. Covers general principles, basic descriptive statistics, and basic charts and graphs.

Resource List: Racial Equity in Data Reporting

Whether you are reporting on community needs and assets, youth program participation, or youth and family outcomes, race is likely to be a factor that is relevant to the story you are telling. It is therefore important that you bring a racial equity lens to your reporting. At the most basic level, this means framing your story in a way that acknowledges structural and systemic barriers to equitable outcomes. The resources on this list provide useful guidance on reporting data in a way that supports racial equity and social justice.

Reflecting on Data Overview

Communication of evaluation findings with both internal and external audiences is critically important. Different audiences have different needs when it comes to data. Think about who needs to know what, and when and how they need to know it, when sharing evaluation results.