Modeling multidimensional test data with a unidimensional model can result in serious statistical errors, such as bias in item parameter estimates. Many methods exist for assessing the dimensionality of a test. The current study focused on DIMTEST. Using simulated data, the effects of sample size splitting for use with the ATFIND procedure for…

The feasibility of constructing test forms with practically equivalent cut scores using judges' estimates of item difficulty as target "statistical" specifications was investigated. Test forms with equivalent judgmental cut scores (based on judgments of item difficulty) were assembled using items from six operational forms of the…