The Effects of Q-matrix Misspecification on Parameter Estimates and Classification Accuracy of the Generalized DINA Model

• Main Authors: Po-Fu Kuo, 郭柏甫
• Other Authors: Rung-Ching Tsai
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/66898263553827221748

碩士 === 國立臺灣師範大學 === 數學系 === 101 === This study investigates the influence of different types of Q-matrix misspecification on parameter estimates and classification accuracy of the G-DINA model. In particular, underspecification and overspecification are the two types of Q-matrix misspecification under consideration. Furthermore, mean absolute deviation and classification accuracy index are used as the indices for parameter estimates and classification accuracy, respectively. Our results show that underspecification has a great impact on item parameter estimates, as well as on the probability of answering an item correctly for some latent mastery patterns. In contrast, overspecification has little impact on parameter estimates. Classification accuracy is also influenced by underspecification,with interactions with sample sizes as well as the distribution of underlying cognitive attribute patterns.