A method of computing percentile ranks from the logistic distribution function is described. The method was applied to three distributions of number-right scores from the Law School Admission Test, and compared to percentile ranks computed using linear interpolation. (Author/JKS)

In test assembly, a fundamental difference exists between algorithms that select a test sequentially or simultaneously. Sequential assembly allows us to optimize an objective function at the examinee's ability estimate, such as the test information function in computerized adaptive testing. But it leads to the non-trivial problem of how to realize…

Item-pool management requires a balancing act between the input of new items into the pool and the output of tests assembled from it. A strategy for optimizing item-pool management is presented that is based on the idea of a periodic update of an optimal blueprint for the item pool to tune item production to test assembly. A simulation study with…

Assessed multidimensionality for six forms of the Law School Admission Test (LSAT) through factor analysis. Determined that the LSAT appears to measure two different reasoning abilities: inductive and deductive. Describes the techniques used to assess dimensionality. (SLD)

Using predictive validity studies of the Law School Admissions Test (LSAT) and the undergraduate grade-point average (UGPA), this study examined the large variation in the magnitude of the validity coefficients across schools. LSAT standard deviation and correlation between LSAT and UGPA accounted for 58.5 percent of the variability. (Author/EGS)