Conducts a comparative investigation of selected item analysis programs currently available which could serve as a base for judicious program selection and use. (RC)

A computer program for a comparative evaluation of the extent of item bias between two subgroups in a test population is described. The program calculates an index of bias based on Angoff's elliptical distance measure, and provides statistics for determining the similarity of intergroup item parameters. (Author/JKS)

Three algorithms for selecting a subset of originally available items, to maximize coefficient alpha, were compared on the size of the resulting alpha and computation time required with nine sets of data. The characteristics of a computer program to perform these item analyses are described. (Author/JKS)

This paper will discuss the results of a series of computer simulations comparing the Rasch logistic model to a series of models departing to various degrees from its assumption of equal discrimination power for all items. The results have implications for test construction and test scoring, indicating how closely the conventional raw score…

Item characteristic curve (ICC) theory describes the relationship between the ability of individuals and the probability of their answering a test question correctly; it is useful in estimating test scores, equating the scores of various tests, and scoring responses during adaptive testing. A simulation study of the effectiveness of the following…

A method for developing statistically parallel tests based on the analysis of unique item variance was developed. A test population of 907 basic airmen trainees were required to estimate the angle at which an object in a photograph was viewed, selecting from eight possibilities. A FORTRAN program known as VARSEL was used to rank all the test items…

Two methods of item selection were used to select sets of 40 items from a 50-item verbal analogies test, and the resulting item sets were compared for relative efficiency. The BICAL program was used to select the 40 items having the best mean square fit to the one parameter logistic (Rasch) model. The LOGIST program was used to select the 40 items…