Measuring English vocabulary size in EFL contexts normally requires a large number of test items and relies on paper-and-pencil (PP the second phase undertook an experiment to compare various termination conditions in both the PP the third phase examined the accuracy and efficiency of the two test modes in classifying test-takers into mastery and non-mastery groups. The results show that testing EFL learners' English vocabulary size with CAT requires only one third of the items in the item bank while still producing comparable vocabulary size estimates to the original test calibrated by all the 180 items in the item bank. The study also demonstrates that CAT can be more efficient and precise in classifying test-takers into mastery and non-mastery groups. These research findings suggest that CAT has great potential in efficiently and precisely measuring EFL learners' English vocabulary size. The relevant research and pedagogical implications are further discussed. This study examines the feasibility of applying computerized adaptive testing (CAT) to measuring English vocabulary size.A large item bank is constructed and validated via the Rasch model.The CAT-based tests are superior to the P&P tests in measuring vocabulary size.The CAT-based tests can be more precise in classifying students into mastery/non-mastery groups than the P&P tests.Test fairness is more likely to be realized in the CAT-based tests.
['Wen-Ta Tseng']
Measuring English vocabulary size via computerized adaptive testing