01339nas a2200157   4500008004100000245006300041210006300104300001000167490000700177520083100184100002101015700001801036700002001054700002201074856008501096       2000                        eng d00aItem selection algorithms in computerized adaptive testing0 aItem selection algorithms in computerized adaptive testing  a12-140 v123 aStudied the efficacy of 3 different item selection algorithms in computerized adaptive testing. Ss were 395 university students (aged 20-25 yrs) in Spain. Ss were asked to submit answers via computer to 28 items of a personality questionnaire using item selection algorithms based on maximum item information, entropy, or mixed item-entropy algorithms. The results were evaluated according to ability of Ss to use item selection algorithms and number of questions. Initial results indicate that mixed criteria algorithms were more efficient than information or entropy algorithms for up to 15 questionnaire items, but that differences in efficiency decreased with increasing item number. Implications for developing computer adaptive testing methods are discussed. (PsycINFO Database Record (c) 2002 APA, all rights reserved).1 aGarcia, David, A1 aSanta Cruz, C1 aDorronsoro, J R1 aRubio Franco, V J  uhttp://iacat.org/content/item-selection-algorithms-computerized-adaptive-testing