Abstract
During the administration of a test, examinees may experience a decline in interest or face time constraints, resulting in gradual performance deterioration. To address this phenomenon, this study modified the model proposed by Jin and Wang (2017b) to develop a class of polytomous item response theory (IRT) models that can capture this performance decline. The study developed four modified IRT models: a rating scale model with gradual performance decline, partial credit model with gradual performance decline, generalized rating scale model with gradual performance decline, and generalized partial credit model with gradual performance decline. These models were assessed for estimation quality through simulation studies. The results revealed that model parameters could be recovered satisfactorily and that increases in test lengths and sample sizes were associated with improved quality of parameter recovery. The study conducted an empirical analysis using Progress in International Reading Literacy Study data to demonstrate the practical application of these proposed models and to investigate the consequences of using inappropriate models for data analysis. The authors conclude by offering several recommendations for future studies in this area.
| Translated title of the contribution | Item Response Theory Models Capturing Performance Decline |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 299-326 |
| Number of pages | 28 |
| Journal | 中華心理學刊 = Chinese Journal of Psychology |
| Volume | 66 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2024 Sept |