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As you begin to consider how to improve CCMR outcomes in your district, the first step is to craft questions related to a CCMR problem of practice in your district that will guide your inquiry process. The table below outlines several potential questions that you might explore. Before contemplating solutions, it is important to gather and analyze multiple sources of data to help you develop a deep understanding of the CCMR problem of practice in your district.

After deciding on an area of inquiry, you will need to identify sources of information that will help to answer your questions. Types of information you might gather include: demographic data, assessments, accountability data, TAPR reports, interviews, focus groups, surveys, and district documents related to CCMR programs. Ideally, you will be able to gather data from multiple sources and then triangulate that information to ensure that a variety of sources corroborate your findings (see table below).

Depending on your district’s needs and the resources available, you may choose to focus on one or two questions or you may engage in a comprehensive inquiry that addresses all of the questions listed below. In a similar manner, for each question, you may choose to gather information from one data source or draw upon multiple data sources.

Question

Review extant data (quantitative)

Document review (qualitative)

Interviews/ focus groups

Describe the district’s longitudinal performance on CCMR outcomes (see tool link below).

X

 

 

Describe the CCMR landscape in the district (programs, district/campus roles, board goals, district vision, etc.).

 

X

X

What resources are available to support CCMR programs (internal and external)?

 

X

X

What strengths/assets can the district build upon?

X

X

X

What barriers might stand in the way of improving CCMR outcomes in the district?

 

X

X

Tool

Use a modified version of the TEA CCMR board goals template to add historical data and charts that highlight equity gaps and surface opportunities to expand programs related to particular CCMR indicators. See sample charts generated by the tool below.

  • The TEA data links page explains how to gather the information you will need to fill out the tool template.

  • Note that because CCMR accountability data lags, the TAPR reports for 2020, 2019, and 2018 include data for your graduates from 2019, 2018, and 2017 respectively.

  • Using data from CCMR Insights, CCMR Verifier, or from other sources, you may be able to enter projections for the 2021 and 2022 rows on the tool.

Related resources

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