A fundamental assumption in computerized adaptive testing is that item parameters are invariant with respect to context--items surrounding the administered item. This assumption, however, may not hold in forced-choice (FC) assessments, where explicit comparisons are made between items included in the same block. We empirically examined the…

A popular method to assess measurement invariance of a particular item is based on likelihood ratio tests with all other items as anchor items. The results of this method are often only reported in terms of statistical significance, and researchers proposed different methods to empirically select anchor items. It is unclear, however, how many…

Narrowly defined personality facet scores are commonly reported and used for making decisions in clinical and organizational settings. Although these facets are typically related, scoring is usually carried out for a single facet at a time. This method can be ineffective and time consuming when personality tests contain many highly correlated…

This report introduces the "WorkFORCE"™ Assessment for Job Fit, a personality assessment utilizing the "FACETS"™ core capability, which is based on innovations in forced-choice assessment and computer adaptive testing. The instrument is derived from the fivefactor model (FFM) of personality and encompasses a broad spectrum of…

The New Japanese version of the Minnesota Multiphasic Personality Inventory (MMPI) was administered twice to 200 Japanese female college students to verify the equivalence of the computer- and booklet-administered formats. For four scales, scores from the computer version were statistically significantly higher than those from the booklet…

The purpose of this paper is to report on the development of the first online self-directed inventory on the measurement of academic programme preferences (MAPP) for potential students at the Open University of Hong Kong (OUHK). In this study, trait-factor theory and personality type theory were employed. 1,963 respondents in Hong Kong were…