01172nas a2200205   4500008004100000245005600041210005300097300001200150490000700162520055300169653002200722653002500744653002500769653002200794653001500816100002300831700001800854700001500872856007900887       2000                        eng d00aAn integer programming approach to item bank design0 ainteger programming approach to item bank design  a139-1500 v243 aAn integer programming approach to item bank design is presented that can be used to calculate an optimal blueprint for an item bank, in order to support an existing testing program. The results are optimal in that they minimize the effort involved in producing the items as revealed by current item writing patterns. Also presented is an adaptation of the models, which can be used as a set of monitoring tools in item bank management. The approach is demonstrated empirically for an item bank that was designed for the Law School Admission Test. 10aAptitude Measures10aItem Analysis (Test)10aItem Response Theory10aTest Construction10aTest Items1 avan der Linden, WJ1 aVeldkamp, B P1 aReese, L M  uhttp://www.iacat.org/content/integer-programming-approach-item-bank-design01885nas a2200145   4500008004100000020001100041245008200052210006900134260005300203520133100256100001501587700001801602700001601620856010301636       1999                        eng d  aSeries00aIncorporating content constraints into a multi-stage adaptive testlet design.0 aIncorporating content constraints into a multistage adaptive tes  aPrinceton, NJ. USAbLaw School Admission Council3 aMost large-scale testing programs facing computerized adaptive testing (CAT) must face the challenge of maintaining extensive content requirements, but content constraints in computerized adaptive testing (CAT) can compromise the precision and efficiency that could be achieved by a pure maximum information adaptive testing algorithm. This simulation study first evaluated whether realistic content constraints could be met by carefully assembling testlets and appropriately selecting testlets for each test taker that, when combined, would meet the content requirements of the test and would be adapted to the test takers ability level. The second focus of the study was to compare the precision of the content-balanced testlet design with that achieved by the current paper-and-pencil version of the test through data simulation. The results reveal that constraints to control for item exposure, testlet overlap, and efficient pool utilization need to be incorporated into the testlet assembly algorithm. More refinement of the statistical constraints for testlet assembly is also necessary. However, even for this preliminary attempt at assembling content-balanced testlets, the two-stage computerized test simulated with these testlets performed quite well. (Contains 5 figures, 5 tables, and 12 references.) (Author/SLD)1 aReese, L M1 aSchnipke, D L1 aLuebke, S W  uhttp://www.iacat.org/content/incorporating-content-constraints-multi-stage-adaptive-testlet-design00536nas a2200121   4500008004100000245009400041210006900135260004600204100001500250700001800265700001600283856011500299       1997                        eng d00aIncorporating content constraints into a multi-stage adaptive testlet design: LSAC report0 aIncorporating content constraints into a multistage adaptive tes  aNewtown, PA: Law School Admission Council1 aReese, L M1 aSchnipke, D L1 aLuebke, S W  uhttp://www.iacat.org/content/incorporating-content-constraints-multi-stage-adaptive-testlet-design-lsac-report