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Equating Oral Reading Fluency Scores: A Model-Based Approach
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Yusuf Kara; Akihito Kamata; Xin Qiao; Cornelis J. Potgieter; Joseph F. T. Nese – Educational and Psychological Measurement, 2024
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
Equating Oral Reading Fluency Scores: A Model-Based Approach
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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
Likelihood-Based Estimation of Model-Derived Oral Reading Fluency
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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
Likelihood-Based Estimation of Model-Derived Oral Reading Fluency
Peer reviewed Peer reviewed
Direct linkDirect link
Cornelis Potgieter; Xin Qiao; Akihito Kamata; Yusuf Kara – Journal of Educational Measurement, 2024
As part of the effort to develop an improved oral reading fluency (ORF) assessment system, Kara et al. 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, including…
Descriptors: Oral Reading, Reading Fluency, Scores, Psychometrics