Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 8 |
Descriptor
Accuracy | 8 |
Reading Rate | 8 |
Oral Reading | 6 |
Models | 5 |
Reading Fluency | 5 |
Reading Tests | 4 |
Elementary School Students | 3 |
Maximum Likelihood Statistics | 3 |
Scores | 3 |
Bayesian Statistics | 2 |
Computation | 2 |
More ▼ |
Source
Grantee Submission | 8 |
Author
Kamata, Akihito | 3 |
Akihito Kamata | 2 |
Kara, Yusuf | 2 |
Nese, Joseph F. T. | 2 |
Potgieter, Cornelis | 2 |
Xin Qiao | 2 |
Yusuf Kara | 2 |
Alonzo, Julie | 1 |
Amanda Goodwin | 1 |
Cornelis J. Potgieter | 1 |
Cornelis Potgieter | 1 |
More ▼ |
Publication Type
Reports - Research | 7 |
Journal Articles | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Elementary Education | 5 |
Early Childhood Education | 2 |
Intermediate Grades | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Primary Education | 2 |
Secondary Education | 2 |
Grade 1 | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Gates MacGinitie Reading Tests | 1 |
What Works Clearinghouse Rating
Yusuf Kara; Akihito Kamata; Xin Qiao; Cornelis J. Potgieter; Joseph F. T. Nese – Grantee Submission, 2023
Words read correctly per minute (WCPM) is the reporting score metric in oral reading fluency (ORF) assessments, which is popularly utilized as part of curriculum-based measurements to screen at-risk readers and to monitor progress of students who receive interventions. Just like other types of assessments with multiple forms, equating would be…
Descriptors: Oral Reading, Reading Fluency, Models, Reading Rate
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
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Corrin Moss; Scott P. Ardoin; Joshua A. Mellott; Katherine S. Binder – Grantee Submission, 2023
The current study investigated the impact of manipulating reading strategy, reading the questions first (QF) or the passage first (PF), during a reading comprehension test, and we explored how reading strategy was related to student characteristics. Participants' eye movements were monitored as they read 12 passages and answered multiple-choice…
Descriptors: Reading Processes, Accuracy, Grade 8, Reading Tests
Kara, Yusuf; Kamata, Akihito; Potgieter, Cornelis; Nese, Joseph F. T. – Grantee Submission, 2020
Oral reading fluency (ORF), used by teachers and school districts across the country to screen and progress monitor at-risk readers, has been documented as a good indicator of reading comprehension and overall reading competence. In traditional ORF administration, students are given one minute to read a grade-level passage, after which the…
Descriptors: Oral Reading, Reading Fluency, Reading Rate, Accuracy
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
Potgieter, Cornelis; Kamata, Akihito; Kara, Yusuf – Grantee Submission, 2017
This study proposes a two-part model that includes components for reading accuracy and reading speed. The speed component is a log-normal factor model, for which speed data are measured by reading time for each sentence being assessed. The accuracy component is a binomial-count factor model, where the accuracy data are measured by the number of…
Descriptors: Reading Rate, Oral Reading, Accuracy, Models
Nese, Joseph F. T.; Kamata, Akihito; Alonzo, Julie – Grantee Submission, 2015
Assessing reading fluency is critical because it functions as an indicator of comprehension and overall reading achievement. Although theory and research demonstrate the importance of ORF proficiency, traditional ORF assessment practices are lacking as sensitive measures of progress for educators to make instructional decisions. The purpose of…
Descriptors: Oral Reading, Reading Fluency, Accuracy, Reading Rate