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Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
Namkung, Jessica M.; Hebert, Michael; Powell, Sarah R.; Hoins, Marisa; Bricko, Nicole; Torchia, Meghann – Reading & Writing Quarterly, 2020
Current mathematics curricula and assessments emphasize students' ability to communicate mathematical reasoning in writing. Limited research exists, however, on what mathematics writing (MW) is and how to assess the quality of MW. Therefore, based on our definition of MW construct, we explored 4 approaches to scoring MW: (a) holistic rubric…
Descriptors: Mathematics Instruction, Writing Skills, Writing Evaluation, Content Area Writing
Graham, Steve; Hebert, Michael; Paige Sandbank, Michael; Harris, Karen R. – Learning Disability Quarterly, 2016
This study examined the number of writing samples needed to obtain a reliable estimate of young struggling writers' capabilities. It further assessed if performance in one genre was reflective of performance in other genres for these children. Second- and third-grade students (81 boys, 56 girls), who were identified as struggling writers in need…
Descriptors: Writing Achievement, Writing Difficulties, Writing (Composition), Norm Referenced Tests
Graham, Steve; Hebert, Michael; Harris, Karen R. – Elementary School Journal, 2015
To determine whether formative writing assessments that are directly tied to everyday classroom teaching and learning enhance students' writing performance, we conducted a meta-analysis of true and quasi-experiments conducted with students in grades 1 to 8. We found that feedback to students about writing from adults, peers, self, and computers…
Descriptors: Formative Evaluation, Meta Analysis, Writing Tests, Quasiexperimental Design