Previous research has found the effects of acquiescence to be generally consistent across item "aggregates" within a single survey (i.e., essential tau-equivalence), but it is unknown whether this phenomenon is consistent at the" individual item" level. This article evaluated the often assumed but inadequately tested…

This study compares four item selection criteria for a two-category computerized classification testing: (1) Fisher information (FI), (2) Kullback-Leibler information (KLI), (3) weighted log-odds ratio (WLOR), and (4) mutual information (MI), with respect to the efficiency and accuracy of classification decision using the sequential probability…

Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…

The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their…

Akaike's information criterion is suggested as a tool for evaluating fit and dimensionality in metric multidimensional scaling that uses least squares methods of estimation. This criterion combines the least squares loss function with the number of estimated parameters. Numerical examples are presented. The results from analyses of both simulation…

Studies the effects of a joint correction for criterion unreliability and Case 1 selection on the parameters of the decision function in personnel selection. Illustrates the joint correction equations. (SLD)

Discussion of a method of classification which attempts to use the particular set of indices of association which produce the most reliable and valid solution. (PR)

An analytic procedure is presented that estimates the expected benefits of personnel classification decisions for which it is assumed that the available criterion estimates are both equi-correlated and equally valid, with equal quotas for the jobs, and the equal importance of all jobs. The numerical method developed for the estimation is…

Major objective in this study was the structuring of a predictive model that would assess combinations of variables that most effectively and parsimoniously measure and forecast college success. (Author)

The Passage Comprehension Test of the Woodcock-Johnson Psycho-Educational Battery--Revised was administered to 77 elementary and middle school students and scored according to ceiling criteria in the manual. Relaxing the ceiling criteria reduced the number of items needed to establish a ceiling without negatively affecting psychometric properties.…

Study to investigate whether any increase in prediction of law school performance could be effected by a more thorough consideration of the undergraduate record. (Author)

Two samples of 177 and 125 community college students were administered two different RAM Scale formats, then responded to three dichotomous school related criterion variables. Evidence supports the concurrent validity of RAM Scale classifications with student preferences for instructors with views similar to or different from the student's.…

Job applicants (n=114) for a nonmanagerial position were administered the California Personality Inventory (CPI) before hiring. Two-year postemployment ratings of employee characteristics were used as criteria to validate the Work Orientation and Managerial Potential CPI scales. Scales were correlated to the ratings, but not to employment status.…

Results from a performance assessment in which 68 high school students wrote essays support the use of latent variable modeling for estimating reliability, concurrent validity, and generalizability of a scoring rubric. The latent variable modeling approach overcomes the limitations of certain conventional statistical techniques in handling…