A technique for detecting item bias that is responsive to attitudinal measurement considerations is a maximum likelihood factor analysis procedure comparing multivariate factor structures across various subpopulations, often referred to as SIFASP. The SIFASP technique allows for factorial model comparisons in the testing of various hypotheses…

The effects of a multidimensional latent trait space on estimation of item and person parameters by the computer program LOGIST are examined. Several item pools were simulated that ranged from truly unidimensional to an inconsequential general latent trait. Item pools with intermediate levels of prepotency of the general latent trait were also…

The study investigated cultural bias in the verbal items of the Wechsler Intelligence Scale for Children-Revised (WISC-R). Six verbal subtests of the WISC-R were administered to 40 Anglo, 40 Mexican-American, and 40 Navajo intermediate grade students matched for grade level, sex, and socioeconomic status. The responses of three groups of subjects…

Efforts to study the fidelity of translation of attitudinal scales into foreign languages have faltered due to the lack of powerful statistical tests to assess such transformations. This study uses a maximum likelihood factor analysis procedure to compare multivariate factor structures across subpopulations. The results showed that inconsistent…

Measurement disturbances, such as guessing, startup, and plodding, often result in an examinee's ability being either over- or under-estimated by the maximum likelihood estimation employed in latent trait psychometric models. Several authors have suggested methods to lessen the impact of unexpected responses on the ability estimation process. This…

Dichotomous search strategies (DSSs) for computerized adaptive testing are similar to golden section search strategies (GSSSs). Each middle point of successive search regions is a testing point. After each item is administered, the subject's obtained score is compared with the expected score at successive testing points. If the subject's obtained…

This study compares the fit of the 3-parameter model to the Ability Removing Random Guessing (ARRG) model on data from a wide range of tests of cognitive ability in three representative samples. When the guessing parameters under the 3-parameter model are estimated individually for each item, the 3-parameter model yields the better fit to…