computerized adaptive testing in industrial and organizational psychology

Developing new online calibration methods for multidimensional computerized adaptive testing

“…Ban et al (2001) compared the five methods in terms of item-parameter recovery (IPR), and found that MEM had the smallest calibration error and Method A produced the largest error due to its theoretical limitation (i.e., treating estimated abilities as true abilities); in addition, Method B used anchor items and showed a smaller error than Method A in the middle ability range. More recently, additional methods/designs have been proposed, including the marginal Bayesian estimation with Markov chain Monte Carlo method (Segall, 2003), automatic online calibration design (Makransky, 2009), sequential design (Chang & Lu, 2010) and optimal Bayesian adaptive design (van der Linden & Ren, 2015). While all the abovementioned methods were developed under unidimensional IRT models, Chen et al (2012) generalized three of them (Method A, OEM and MEM) to CD-CAT applications, and found that all three extended methods were able to recover the item parameters accurately and that the CD-CAT version of Method A outperformed the other two when the items had relatively small slipping and guessing parameters under the deterministic input, noisy AND gate (DINA) model.…”

“…() compared the five methods in terms of item‐parameter recovery (IPR), and found that MEM had the smallest calibration error and Method A produced the largest error due to its theoretical limitation (i.e., treating estimated abilities as true abilities); in addition, Method B used anchor items and showed a smaller error than Method A in the middle ability range. More recently, additional methods/designs have been proposed, including the marginal Bayesian estimation with Markov chain Monte Carlo method (Segall, ), automatic online calibration design (Makransky, ), sequential design (Chang & Lu, ) and optimal Bayesian adaptive design (van der Linden & Ren, ). While all the above‐mentioned methods were developed under unidimensional IRT models, Chen et al .…”

Proposal of a modern solution to an ancient problem: Literary-historical evidence that theAbhisamayāla $$\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle\cdot}$}}{m} $$ kāra teaches three BuddhaKāyas

“…Mahtiytinastitrcilartzktira vs. 9.60 quoted above). 39 Yogacara treatises characteristically employed a special six category analysis of Buddhahood. In this six-fold analysis, the collection of Buddha dharmas was categorized not as the "essence" of enlightenment ("svabhava," equivalent to Svtibhtivikakciya) but as the "possession" or "endowment" of enlightenment ("yoga").…”