Growth Estimation of Oral Reading Fluency Using Growth Mixture Modeling

• In Event: Roundtable Session 12
  In Roundtable Session: Investigating Reading Difficulties

Abstract

Growth Mixture Modeling (GMM) techniques were used to model the growth in Oral Reading Fluency (ORF) of a group of 1,039 5th grade students. Progress monitoring data collected from administration of easyCBM’s Passage Reading Fluency measure were collected during the 2009-2010 academic year. The GMM analyses revealed three distinct latent classes, each with a different pattern of initial performance and average growth in ORF. Results of the study indicated that initial student performance only, not growth in ORF was predictive of performance on the Oregon Assessment of Knowledge and Skills and that special education status was a significant predictor of risk status.

Authors

• Bitnara Jasmine Park, University of Oregon

• Chris Pinkney, University of Oregon

• Julie Alonzo, University of Oregon

• Gerald A. Tindal, University of Oregon