When multiple-choice tests are scored in the usual manner, giving each correct answer one point, information concerning response patterns is lost. A method for utilizing this information is suggested. An example is presented and compared with two conventional methods of scoring. (Author/JKS)

The viewpoint is expressed that adding to test reliability by either selecting a more homogeneous set of items, restricting the range of item difficulty as closely as possible to the most efficient level, or increasing the number of items will not add to test validity and that there is considerable danger that efforts to increase reliability may…

In some testing programs an early item analysis is performed before final scoring in order to validate the intended keys. As a result, some items which are flawed and do not discriminate well may be keyed so as to give credit to examinees no matter which answer was chosen. This is referred to as allkeying. This research examined how varying the…

Item analysis data fitting the normal ogive model were simulated in order to investigate the problems encountered when applying the three-parameter logistic model. Binary item tests containing 10 and 35 items were created, and Monte Carlo methods simulated the responses of 2,000 and 500 examinees. Item parameters were obtained using Logist 5.…

The proportionality model assumes that total testing time is proportional to the number of test items and the number of options per multiple choice test item. This assumption was examined, using test items having from two to five options. The model was not supported. (Author/GDC)