01264nas a2200133   4500008004100000245007500041210006900116260000800185300001200193490000700205520080400212100001601016856009801032       2004                        eng d00aA sharing item response theory model for computerized adaptive testing0 asharing item response theory model for computerized adaptive tes  cWin  a439-4600 v293 aA new sharing item response theory (SIRT) model is presented which explicitly models the effects of sharing item content between informants and testtakers. This model is used to construct adaptive item selection and scoring rules that provide increased precision and reduced score gains in instances where sharing occurs. The adaptive item selection rules are expressed as functions of the item’s exposure rate in addition to other commonly used  properties (characterized by difficulty, discrimination, and guessing parameters). Based on the results of simulated item responses, the new item selection and scoring algorithms compare favorably to the Sympson-Hetter exposure control method. The new SIRT approach provides higher reliability and lower score gains in instances where sharing occurs.1 aSegall, D O  uhttp://www.iacat.org/content/sharing-item-response-theory-model-computerized-adaptive-testing