By Russell Waugh
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Additional resources for Applications of Rasch Measurement in Education (Education in a Competitive and Globalizing World)
1980/1960). Probabilistic model for some intelligence and attainment tests. Chicago: The University of Chicago. Richichi, R. V. (1996). An analysis of test bank multiple-choice items using Item Response Theory (Research /Technical No. ED 405367). USA. Rudner, L. (1998a). Item Banking (No. EDO-TM-98-04). USA: Eric Clearinghouse on Assessment and Evaluation, Washington ,DC. Rudner, L. (1998b). Item banking. Practical Assessment, Researhand Evaluation, 6(4). v=6andn=4 . Sands, W. , Waters, B. , and McBride, J.
Characteristic curve for item 180 (a Poor-Fitting Item). Item 180 is a not-so-good-fitting item of the mathematics scale. The item characteristic curve is shown on Figure 4. Four groups had higher expected scores and two groups had Chaowprapha Chuesathuchon and Russell Waugh 16 lower than expected scores. This explains the poor fit of this item to the measurement model since many students did not perform as expected on this item. Item Difficulties After the Rasch analysis, the items were ordered in terms of their calibrated item difficulties (see Tables 2 – 10) by sub-groups.
Item response theory for phychologists. Mahwah, NJ: Erlbaum. Fan, X. (1998). Item Response Theory and Classical Test Theory: An empirical comparison of their item/person statistics. Educational and Psychological Measurement, 58(3), 357381. Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6(1), 109-127. Gershon, R. , and Bergstrom, B. A. (Artist). (1995). Does cheating on CAT pay: Not! [ERIC Document Reproductions No. TM024692]. Green, B. F. (1984). Technical guidlines for assessing computerized adaptive test.