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Scoring Running Records

Complexities and affordances

Bibliographic Data

ID21722124
AuthorsElizabeth Rodgers (0000-0001-5971-1382, The Ohio State University, corresponding author), Jerome V D’agostino (0000-0003-2608-7354, The Ohio State University), Rebecca F Berenbon (0000-0002-8744-3132, The Ohio State University), Rebecca Berenbon (The Ohio State University), Tracy Johnson (0000-0001-5013-1162, The Ohio State University), Christa Winkler (0000-0002-1700-5444, The Ohio State University)
Year2023
Volume23
Issue4
Pages665-694
Publication date2023-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Early Childhood Literacy (JOURNAL)
Journal identifiersISSN: 1468-7984 • E-ISSN: 1741-2919
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/14687984211027198
OpenAlexW3183403430
LanguageEN
Citations received2
References cited12

Running Records are thought to be an excellent formative assessment tool because they generate results that educators can use to make their teaching more responsive. Despite the technical nature of scoring Running Records and the kinds of important decisions that are attached to their analysis, few studies have investigated assessor accuracy. We measured precision across 114 teachers who were given a pre-coded Running Record to analyze by comparing their quantification and interpretation of the record against a scoring key. We also used Rasch measurement to examine which items teachers found easy and hard to score accurately. Analyses revealed wide variation in teachers’ accuracy, particularly in interpretation, that, according to item difficulty analysis, were caused by a few specific mistakes in scoring. Implications to improve training so that individuals administer Running Records more reliably are shared

Affordance · Developmental psychology · Formative assessment · Human–computer interaction · Mathematics education · Natural language processing · Rasch model · Computer Science · Educational Assessment and Improvement · Online Learning and Analytics · Psychology · Student Assessment and Feedback · Artificial Intelligence

  • Theoretical Foundation and Validation of the Record of Decision-Making (Rodm)

    Open Access•Elizabeth Rodgers, Jerome V D’agostino•Education Sciences•2025

  • The Road to Running Records

    Open Access•Annie Unger, Tanya A Serry et al.•Review of Educational Research•2025

  • Metatheoretical Differences between Running Records and Miscue Analysis

    Sinéad Harmey, Bobbie Kabuto•Research in the Teaching of English•2018

  • Validity, reliability, and utility of the Observation Survey of Early Literacy Achievement

    Open Access•Carolyn A Denton, DENNIS J CIANCIO et al.•Reading Research Quarterly•2006

  • Toward an Interactive-Compensatory Model of Individual Differences in the Development of Reading Fluency

    Keith E Stanovich•Reading Research Quarterly•1980

  • Examining the Nature of Scaffolding in an Early Literacy Intervention

    Open Access•Elizabeth Rodgers, Emily Rodgers et al.•Reading Research Quarterly•2016

Citations per year2
Citation span2025 - 2025 (1)
Highly citedNo

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