Accuracy of Automated Written Expression Curriculum-Based Measurement Scoring
We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutori...
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Published in: | Canadian journal of school psychology Vol. 36; no. 4; pp. 304 - 317 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Los Angeles, CA
SAGE Publications
01-12-2021
SAGE PUBLICATIONS, INC |
Subjects: | |
Online Access: | Get full text |
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Summary: | We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutoring through a community-based organization completed narrative writing samples in the fall and spring across two academic years. The samples were evaluated using four automated and hand-calculated WE-CBM scoring metrics. Results indicated automated and hand-calculated scores were highly correlated at all four timepoints for counts of total words written (rs = 1.00), words spelled correctly (rs = .99–1.00), correct word sequences (CWS; rs = .96–.97), and correct minus incorrect word sequences (CIWS; rs = .86–.92). For CWS and CIWS, however, automated scores systematically overestimated hand-calculated scores, with an unacceptable amount of error for CIWS for some types of decisions. These findings provide preliminary evidence that aWE-CBM can be used to efficiently score narrative writing samples, potentially improving the feasibility of implementing multi-tiered systems of support in which the written expression skills of large numbers of students are screened and monitored. |
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ISSN: | 0829-5735 2154-3984 |
DOI: | 10.1177/0829573520987753 |