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Xin Qiao; Akihito Kamata; Cornelis Potgieter – Grantee Submission, 2024
Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passage parameter estimates are currently used as if they were population values in model-based ORF scoring.…
Descriptors: Oral Reading, Reading Fluency, Error Patterns, Scoring
Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Grantee Submission, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
Cornelis Potgieter; Xin Qiao; Akihito Kamata; Yusuf Kara – Grantee Submission, 2024
As part of the effort to develop an improved oral reading fluency (ORF) assessment system, Kara et al. (2020) estimated the ORF scores based on a latent variable psychometric model of accuracy and speed for ORF data via a fully Bayesian approach. This study further investigates likelihood-based estimators for the model-derived ORF scores,…
Descriptors: Oral Reading, Reading Fluency, Scores, Psychometrics
Ethan R. Van Norman; David A. Klingbeil; Kristen Truman; Peter M. Nelson; David C. Parker – Grantee Submission, 2024
The transition from sounding out unfamiliar words to effortlessly reading connected text does not occur all at once nor at the same rate for students. The purpose of this study was to explore the accuracy of three decision rules (data point, median, and trend line) applied to progress monitoring outcomes of alphabetic principle (nonsense word…
Descriptors: Progress Monitoring, Outcomes of Education, Reading Rate, Word Recognition