Developing the Next Generation of Oral Reading Fluency Assessment [Online]

Abstract

Oral reading fluency (ORF) assessment has been documented as a good indicator of overall reading competency, and its assessment is used by teachers and school districts across the country to screen and progress-monitor at-risk readers. However, there are some limitations for the traditional ORF assessment. For example, one-to-one test administration and manual scoring can be a burden for teachers, and the validity and reliability of manual scoring can be questionable. Also, an ORF score is traditionally based on the observed accuracy and observed reading time on a specific given passage, which makes it hard to ensure score comparability between scores from different passages. A development of an improved ORF assessment system has been conducted by three grant projects under an overarching goal to improve the reliability of ORF scores and the validity of their interpretations, such that decisions made from ORF scores would result in better identification of students in need of reading interventions, as well as for progress monitoring in order to better support improving student reading outcomes. This presentation will provide an overview of this development effort. Also, as part of the development effort, a psychometric model has been developed for estimating passage-level parameters for ORF passages and model-based student-level ORF scores. This presentation will also provide an overview of this psychometric model.

Akihito Kamata is a professor of Education and Psychology at Southern Methodist University. His primary research interest is psychometrics and educational and psychological measurement, focusing on implementation of item-level test data analysis methodology through various modeling frameworks, including item response theory, multilevel modeling, and structural equation modeling. Prior to joining SMU in 2013, he was a professor at the University of Oregon and Florida State University.

Date: 
Tuesday, March 16, 2021 - 2:45pm
Building: 
Online session
Room: 
Zoom
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