ROAR-CAT: Rapid Online Assessment of Reading ability with Computerized Adaptive Testing

The Rapid Online Assessment of Reading (ROAR) is a web-based, lexical decision task that measures single word reading abilities in children and adults without a proctor. Here we study whether item response theory (IRT) and computerized adaptive testing (CAT) can be used to create a more efficient online measure of word recognition.

This repo contains data analysis and figures in the manuscript of ROAR-CAT.

Analysis

Study 1: parameter_invariance.Rmd
Study 2: cat_validation.Rmd
Study 3: roar-convergent-validity.Rmd

Code availability

jsCAT software can be found in https://github.com/yeatmanlab/jsCAT

The demo of the operational ROAR-CAT (84 adaptive items): https://roar-word.web.app/?recruitment=demo

Code to produce the results and figures can be found in https://github.com/yeatmanlab/ROAR-CAT-Public

Data (private)

We cannot legally make the data public due to privacy regulations from the schools.

Data available on request for research collaboration purposes.

Citation

Prepint

Ma, W. A., Richie-Halford, A., Burkhardt, A., Kanopka, K., Chou, C., Domingue, B., & Yeatman, J. D. (2023, September 22). ROAR-CAT: Rapid Online Assessment of Reading ability with Computerized Adaptive Testing. https://doi.org/10.31234/osf.io/7tpx2

Journal Paper (Accepted to Behavior Research Methods)

Citation coming soon!

Corresponding Author: Wanjing Anya Ma wanjingm@stanford.edu