Accuracy in identifying students' miscues during oral reading: a taxonomy of scorers' mismarkings.
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| Title: | Accuracy in identifying students' miscues during oral reading: a taxonomy of scorers' mismarkings. |
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| Authors: | Reed, Deborah K.1, Cummings, Kelli D.2, Schaper, Andrew3, Lynn, Devon4, Biancarosa, Gina5 |
| Source: | Reading & Writing. Apr2019, Vol. 32 Issue 4, p1009-1035. 27p. |
| Subject Terms: | *Informal reading inventories, *Curriculum alignment, *Miscue analysis, Tallies, Error |
| Abstract: | Informal reading inventories (IRI) and curriculum-based measures of reading (CBM-R) have continued importance in instructional planning, but raters have exhibited difficulty in accurately identifying students' miscues. To identify and tabulate scorers' mismarkings, this study employed examiners and raters who scored 15,051 words from 108 passage readings by students in Grades 5 and 6. Word-by-word scoring from these individuals was compared with a consensus score obtained from the first author and two graduate students after repeated replaying of the audio from the passage readings. Microanalysis conducted on all discrepancies identified a cumulative total of 929 mismarkings (range = 1–37 per passage) that we categorized in 37 unique types. Examiners scoring live made significantly more mismarkings than raters scoring audio recordings, t(214) = 4.35, p =.0001, with an effect size of d = 0.59. In 98% of the passages, scorers disagreed on the number of words read correctly—the score used for screening and progress monitoring decisions. Results suggest that IRIs and CBM-Rs may not be accurate as diagnostic tools for determining students' particular word-level difficulties. [ABSTRACT FROM AUTHOR] |
| Copyright of Reading & Writing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 135661893 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11145-018-9899-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1009 Subjects: – SubjectFull: Informal reading inventories Type: general – SubjectFull: Curriculum alignment Type: general – SubjectFull: Miscue analysis Type: general – SubjectFull: Tallies Type: general – SubjectFull: Error Type: general Titles: – TitleFull: Accuracy in identifying students' miscues during oral reading: a taxonomy of scorers' mismarkings. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reed, Deborah K. – PersonEntity: Name: NameFull: Cummings, Kelli D. – PersonEntity: Name: NameFull: Schaper, Andrew – PersonEntity: Name: NameFull: Lynn, Devon – PersonEntity: Name: NameFull: Biancarosa, Gina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 09224777 Numbering: – Type: volume Value: 32 – Type: issue Value: 4 Titles: – TitleFull: Reading & Writing Type: main |
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