Predicting Proficiency on the State of Texas Assessments of Academic Readiness (STAAR) Spanish Based on NWEA MAP Growth Scores - July 2025 - Linking Study Updates

Sep 30, 2026

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Linking studies enable partners to use NWEA MAP Growth Rasch Unit (RIT) scores across the year to forecast students’ performance on state summative assessments. This report presents updated linking study results for STAAR Spanish in grades 3–5 for mathematics and reading language arts (RLA), using Spring 2023 data alongside updated Spanish math and Spanish RLA norms. Statistical analyses generate RIT cut scores that map to STAAR Spanish performance levels, including fall, winter, and spring administrations, supporting proficiency risk identification and targeted instruction planning.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages24

Reading Time1 h 0 min

AccessFree to download

Executive Summary

1. Introduction

1.1. Purpose of the Study

1.2. Assessment Overview

2. Methods

2.1. Data Collection

2.2. Post-Stratification Weighting

2.3. Descriptive Statistics

2.4. MAP Growth Cut Scores

2.5. Classification Accuracy

2.6. Proficiency Projections

3. Results

3.1. Study Sample

3.2. Descriptive Statistics

3.3. MAP Growth Cut Scores

3.4. Classification Accuracy

3.5. Proficiency Projections

References

Predicting Proficiency on the State of Texas Assessments of Academic Readiness (STAAR) Spanish Based on NWEA MAP Growth Scores July 2025 NWEA Psychometrics and Analytics Linking Study Updates | Date | Description | | --- | --- | | 2022-02-27 | Initial study conducted for STAAR Spanish in grades 3–5 reading using Spring 2019 data. | | 2025-07-01 | Updated the linking study for STAAR Spanish in mathematics and RLAin grades 3–5 using Spring 2023 data as well as the 2025 norms for Spanish mathematics and the 2021 norms for Spanish RLA. | Table of Contents Executive Summary ................................................................................................................... 1 1. Introduction ............................................................................................................................ 4 1.1. Purpose of the Study ................................................................................................... 4 1.2. Assessment Overview.................................................................................................. 4 2. Methods ................................................................................................................................. 5 2.1. Data Collection............................................................................................................. 5 2.2. Post-Stratification Weighting ........................................................................................ 5 2.3. Descriptive Statistics .................................................................................................... 5 2.4. MAP Growth Cut Scores .............................................................................................. 6 2.5. Classification Accuracy ................................................................................................ 7 2.6. Proficiency Projections ................................................................................................. 7 3. Results ................................................................................................................................... 9 3.1. Study Sample .............................................................................................................. 9 3.2. Descriptive Statistics ...................................................................................................11 3.3. MAP Growth Cut Scores .............................................................................................11 3.4. Classification Accuracy ...............................................................................................13 3.5. Proficiency Projections ................................................................................................14 References ...............................................................................................................................21 List of Tables Table E.1 . MAP Growth RIT Cut Scores Linked to STAAR Spanish Meets Grade Level Cut Scores ...................................................................................................................... 2 Table 2.1. Description of Classification Accuracy Summary Statistics ........................................ 7 Table 3.1. Linking Study Sample Demographics (Unweighted) .................................................. 9 Table 3.2. Linking Study Population Demographics ..................................................................10 Table 3.3. Linking Study Sample Demographics (Weighted) .....................................................10 Table 3.4. Descriptive Statistics of Test Scores.........................................................................11 Table 3.5. MAP Growth Cut Scores—Spanish Mathematics .....................................................12 Table 3.6. MAP Growth Cut Scores—Spanish RLA ..................................................

FAQs

What does the STAAR Spanish linking study accomplish?

It produces MAP Growth Rasch Unit (RIT) cut scores that correspond to STAAR Spanish performance levels for mathematics and reading language arts (RLA) in grades 3–5, enabling predictions across the school year.

Which data sources and norms are used in the updated study?

The update is based on students who took both MAP Growth and STAAR Spanish in Spring 2023, using Spring 2023 data, 2025 norms for Spanish mathematics, and 2021 norms for Spanish RLA.

How can educators use the RIT cut scores in practice?

Educators can use the RIT cut scores to identify students who are at risk of not meeting state proficiency standards and to plan targeted instruction to improve academic outcomes.

Sep 30, 2026

Upload by Riley