Sequential Response Model With Covariates (SRM-C): Assessing Item Recovery in Process Data Analysis

• In Event: Response Process Data Analysis

Abstract

This article proposed a sequential response model with covariates (SRM-C) that incorporates comprehensive information from the process data on technology-based problem-solving tasks and covariates to infer problem-solving ability more effectively. Monte Carlo simulation results indicated that parameters were well-recovered and proved that SRM-C fit better than sequential response model (SRM) when there were covariates that influence the operation process. An empirical study was conducted to showcase the practicability of SRM-C in analyzing the actual process data after controlling the effects of covariates, with a real-world interactive assessment item.

Authors

• Yuting Han, Peking University

• Hongyun Liu