Events such as curriculum changes or practice effects can lead to item parameter drift (IPD) in computer adaptive testing (CAT). The current investigation introduced a point- and weight-adjusted D[superscript 2] method for IPD detection for use in a CAT environment when items are suspected of drifting across test administrations. Type I error and power rates of the proposed method were compared to a more traditional, non-adjusted D[superscript 2] method and two recently suggested methods for use in a CAT environment: pseudo-count robust z and pseudo-count D[superscript 2] methods. Though all CAT-adjusted IPD detection methods compared resulted in high power, the pseudo-count D[superscript 2] method was found to have the highest power rates, with the proposed D[superscript 2] method a close second. All four methods were found to have acceptable type I error rates.