This research brief examines whether lower-income students who show high math achievement early in school are being identified and supported to sustain their success. The research addresses a broader concern that socioeconomic gaps in advanced learning opportunities may contribute to high-achieving, lower-income students falling off the path to advanced math, STEM education and careers.

This is the technical appendix to the research brief, Missing at the Top: Lower-income Students Underrepresented Among High Achievers, which examines whether lower-income students who show high math achievement early in school are being identified and supported to sustain their success.

This comprehensive technical report documents the design, development, and validation of MAP Growth Course-Specific assessments for the 2024–2025 school year. It presents evidence of psychometric quality, including adaptive testing methods, reliability, validity, fairness, and score interpretation across grades and courses.

Using a case study from a U.S. school district, this research brief examines the practices and conditions of a coherent instructional system, and where and how it had the most impact. It offers a practical model that leaders can adapt in their own schools to help strengthen instruction across classrooms.

This is the technical appendix to the research brief, “The Power of Connectedness: A Case for a Coherent Instructional System for Reading and Science Improvement,” which examines the practices and conditions of a coherent instructional system, and where and how it had the most impact.

This user guide explains how to navigate the MAP® Growth™ National Dashboard, understand the key metrics and terms, make appropriate comparisons of data, and communicate findings responsibly. This guide also includes a robust “Frequently Asked Questions” section that provides in-depth answers about the dashboard and its uses.

This is the accompanying technical appendix to the MAP Growth National Dashboard providing more details of the data and describing more fully the sample and methods used within the dashboard.