Exploration of the Predictive Validity of Middle School Math Screeners

ABSTRACT Universal screening is a key element of multi‐tiered systems of support. Relative to literacy, fewer studies have investigated the psychometric properties of math assessments particularly amongst middle school students. We investigated whether outcomes from two types of curriculum‐based measures (CBMs), computational fluency (M‐COMP) and concepts and application (M‐CAP) were predictive of end of year test scores after accounting for performance on a computer adaptive test of broad math performance (Measures of Academic Progress—MAP). We used quantile regression to determine whether M‐COMP and M‐CAP were differentially important in predicting end of year scores as a function of overall student skill level (e.g., students performing far below expectations) after accounting for MAP scores. Including M‐COMP consistently improved predictions of end of year state test scores for grade six students scoring below the 25th percentile on an end of year achievement test. M‐COMP and M‐CAP provided limited additional predictive utility across skill levels for students in grades seven and eight.

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Publication Details

Journal
Psychology in the Schools
Published
2025-09-17
DOI
https://doi.org/10.1002/pits.70101
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploration of the Predictive Validity of Middle School Math Screeners

Ethan R. Van Norman, David A. Klingbeil, Hannah K. Crespy
Psychology in the Schools
Diverse Approaches in Healthcare and Education Studies
article

Exploration of the Predictive Validity of Middle School Math Screeners

Ethan R. Van Norman, David A. Klingbeil, Hannah K. Crespy
article en

Abstract

ABSTRACT Universal screening is a key element of multi‐tiered systems of support. Relative to literacy, fewer studies have investigated the psychometric properties of math assessments particularly amongst middle school students. We investigated whether outcomes from two types of curriculum‐based measures (CBMs), computational fluency (M‐COMP) and concepts and application (M‐CAP) were predictive of end of year test scores after accounting for performance on a computer adaptive test of broad math performance (Measures of Academic Progress—MAP). We used quantile regression to determine whether M‐COMP and M‐CAP were differentially important in predicting end of year scores as a function of overall student skill level (e.g., students performing far below expectations) after accounting for MAP scores. Including M‐COMP consistently improved predictions of end of year state test scores for grade six students scoring below the 25th percentile on an end of year achievement test. M‐COMP and M‐CAP provided limited additional predictive utility across skill levels for students in grades seven and eight.

Psychology in the SchoolsVol. 63(2)
University of Wisconsin–Madison (US), Lehigh University (US)
Openalex Percentile: Top 66%
Diverse Approaches in Healthcare and Education Studies
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