Equated WCPM scores generally correlate more highly with MAP Growth Reading RIT scores than raw WCPM scores, with one exception¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly

Subclaims¶

q2 i? Across eight of nine passage-position-by-term analyses, equated WCPM scores show higher correlations with external MAP Growth Reading RIT scores than raw scores; Fall 2018 passage position 1 is the exception. → Chen 2020

Evidence¶

Chen 2020¶

Chen, J., & Simpson, M. A. (2020). Equating words-correct-per-minute (WCPM) scores across passages of MAP Reading Fluency. Portland, OR: NWEA. https://www.nwea.org/research/publication/equating-words-correct-per-minute-wcpm-scores-across-passages-of-map-reading-fluency/

q2 · i? · design · r2

Convergent validity analysis using only students who took both MAP Reading Fluency and MAP Growth Reading in the same term (Table 3.4; e.g., Fall 2018 p2, N 19,945, raw 0.556 versus equated 0.605). The report says equated scores "generally showed higher correlations."

"Compared with the raw WCPM scores, equated WCPM scores generally showed higher correlations with students’ RIT scores from MAP Growth Reading, with only one exception (Fall 2018, p1)."

Discussion¶

Related Claims¶

• Cross-term WCPM score differences are more consistent across passage positions after equating, supporting progress monitoring — related
• Equated WCPM scores are more highly correlated across passages read by the same student than raw WCPM scores, suggesting greater reliability — related
• Equated WCPM scores from non-reference passages show smaller residuals against reference-passage scores than raw scores, with one passage exception — related
• Equated WCPM scores show much less within-student variance than raw WCPM scores, indicating reduced passage-difficulty fluctuations — related
• Linear regression outperformed equipercentile and mean-sigma equating for predicting ARM scores and was selected as the final linking model — related