A Sentence-Level Joint Testlet Model for Measuring Oral Reading Fluency

• In Event: Oral Reading Fluency Models

Abstract

This study introduces a testlet-based model for measuring the speed, accuracy, and oral reading fluency of students. Similar to testlet response models, a binomial-lognormal hierarchical speed and accuracy model is extended to account for dependency among sentences within passages. The utility of the model is demonstrated on an empirical dataset.

Authors

• Yusuf Kara, UNIVERSITY OF MIAMI

• Akihito Kamata, SOUTHERN METHODIST UNIVERSITY

• Cornelis Potgieter, Texas Christian University

• Joseph F. T. Nese, UNIVERSITY OF OREGON

• Xin Qiao, University of South Florida