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ReaderBench Model 1
ReaderBench Model 1 is an ensemble (formed by averaging predicted quality scores) of the following six sub-models:
- ReaderBench Model 1a
- ReaderBench Model 1b
- ReaderBench Model 1c
- ReaderBench Model 1d
- ReaderBench Model 1e
- ReaderBench Model 1f
Full details of each sub-model are available in the links above.
All of these models used ReaderBench scores on 7 min narrative writing samples ("I once had a magic pencil and ...") from students in the fall, winter, and spring of Grades 2-5 (Mercer et al., 2019) to predict holistic writing quality on the samples (elo ratings calculated from paired comparisons).
More details on the sample are available in Mercer et al. (2019).
Mercer, S. H., Keller-Margulis, M. A., Faith, E. L., Reid, E. K., & Ochs, S. (2019). The potential for automated text evaluation to improve the technical adequacy of written expression curriculum-based measurement. Learning Disability Quarterly, 42, 117-128. https://doi.org/10.1177/0731948718803296
This scoring model was evaluated in the following publication:
Keller-Margulis, M. A., Mercer, S. H., & Matta, M. (2021). Validity of automated text evaluation tools for written-expression curriculum-based measurement: A comparison study. Reading and Writing: An Interdisciplinary Journal, 34, 2461-2480. https://doi.org/10.1007/s11145-021-10153-6
link to pre-print of accepted article