Enhancing Precision in Joint Count-Time Measurement Models: A Testlet Approach

• In Event: Oral Reading Fluency Models

Abstract

This study introduces a testlet model for jointly-observed count and time assessment data. Incorporating latent accuracy and speed dimensions, our approach captures item correlations within and between testlets. Method of Moments and Maximum Likelihood parameter estimation methods are developed. Methods are compared through simulation and empirical illustration.

Authors

• Cornelis Potgieter, Texas Christian University

• Yusuf Kara, UNIVERSITY OF MIAMI

• Akhito Kamata, SOUTHERN METHODIST UNIVERSITY