Data Literacy 201: Selecting the Proper Metrics - 36290
Data Literacy 201 focuses on measuring the right things in the right ways. This session moves beyond interpreting data to designing meaningful, purpose-aligned metrics that support strong decisions. Participants will learn how to evaluate metric quality, distinguish leading and lagging indicators, triangulate evidence, and avoid common misinterpretation pitfalls. Using education-focused examples, we’ll practice selecting valid, reliable, and actionable measures that strengthen reporting and performance conversations. This workshop is hands-on and collaborative, designed for service center and district/campus staff who want to deepen their data practice and improve how they choose and communicate metrics. Participants will leave with practical tools to build trustworthy metrics and turn data into meaningful action.
Audiences
ASCENDER, Business Personnel, Data Resource Systems, Technology/Technical Support Personnel, TSDS (Texas Student Data System) Personnel, Administrative Assistants, Assistant Principals, Directors, ESC 11 Personnel, ESC Personnel, Federal Program Directors/Coordinators, Industry Members, Industry/Business/Community Leaders, Librarians, Instructional Leaders, Instructional Technology Personnel, McKinney-Vento, Paraprofessionals, PEIMS (Public Education Information Management System) Staff, Principals, School Board Members, Superintendents/Chief Executive Officers, Teacher - Early Childhood/PreK/Kindergarten, Teacher - Elementary (Grades 1-5), Teacher - General Education, Teacher - Gifted Talented/Advanced Academics, Teacher - High School (Grades 9-12), Teacher - Middle School (Grades 6-8), Teacher - Special Education
Prerequisite/Special Notes
Completion of Data Literacy 101 is required.
Objectives
By the end of this session, participants will be able to:
1.) Select metrics that align with the purpose and goal by anchoring their metrics with business questions.
2.) Evaluate metric quality for clarity, validity, and actionability.
3.) Use logic models and levels of purpose to choose the right measures.
4.) Interpret metrics using trends, comparisons, and context.
5.) Turn metric results into clear insights and next steps.
Session
65761
Fee
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Seats Left
34
T-TESS
Registration Deadline
11/2/2026 12:00 am
Credit Type
Professional Development
Duration
05:00
T-PESS
Presenter
Jason Balters ESC Region 11, Joseph Brindle ESC Region 11
This session’s start date is less than 11 days from now, so it is ineligible for a refund. Are you sure you want to register?
For assistance contact:
Jason Balters
Research & Data Analyst
jbalters@esc11.net
For assistance contact:
Joseph Brindle
Team Lead, Technical Support
jbrindle@esc11.net
(817) 740-7690
Offered Again On
- 11/2/2026 9:00 am
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