A New Online Calibration Method Based on Lord's Bias-Correction.

ABSTRACT: Online calibration technique has been widely employed to calibrate new items due to its advantages. Method A is the simplest online calibration method and has attracted many attentions from researchers recently. However, a key assumption of Method A is that it treats person-parameter estimates θ^s (obtained by maximum likelihood estimation [MLE]) as their true values θs , thus the deviation of the estimated θ^s from their true values might yield inaccurate item calibration when the deviation is nonignorable. To improve the performance of Method A, a new method, MLE-LBCI-Method A, is proposed. This new method combines a modified Lord's bias-correction method (named as maximum likelihood estimation-Lord's bias-correction with iteration [MLE-LBCI]) with the original Method A in an effo

SUBMITTER: He Y 

PROVIDER: S-EPMC5978521 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature