Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| Grantee Submission | 2 |
Author
| Akihito Kamata | 1 |
| Cornelis Potgieter | 1 |
| David J. Weiss | 1 |
| Gina Biancarosa | 1 |
| Joseph N. DeWeese | 1 |
| Joseph Nese | 1 |
| Mark L. Davison | 1 |
| Ozge Ersan | 1 |
| Patrick C. Kennedy | 1 |
| Xin Qiao | 1 |
| Yusuf Kara | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Numerical/Quantitative Data | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textXin Qiao; Akihito Kamata; Yusuf Kara; Cornelis Potgieter; Joseph Nese – Grantee Submission, 2023
In this article, the beta-binomial model for count data is proposed and demonstrated in terms of its application in the context of oral reading fluency (ORF) assessment, where the number of words read correctly (WRC) is of interest. Existing studies adopted the binomial model for count data in similar assessment scenarios. The beta-binomial model,…
Descriptors: Oral Reading, Reading Fluency, Bayesian Statistics, Markov Processes
Peer reviewedMark L. Davison; David J. Weiss; Ozge Ersan; Joseph N. DeWeese; Gina Biancarosa; Patrick C. Kennedy – Grantee Submission, 2021
MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…
Descriptors: Reading Tests, Computer Assisted Testing, Reading Comprehension, Elementary School Students
