The quality of fit between the data and the measurement model is fundamental to any discussion of results. Fit has been the subject of inquiry since as early as the 1920s. Most early explorations concentrated on assessing global fit or subset fits on fixed length, traditional paper and pencil tests given as a single unit. The detection of aberrant response patterns in the new computer adaptive format is vital to the continued establishment of confident, quality measures. It would appear that detection strategies emphasizing the effectiveness of the targeting process are more important indicators of aberration during review than are traditional fit statistics. In fact, the targeting issue becomes a fit issue. For the investigations described, three simulated examinee records were selected, and each simulated examinee took a computer adaptive test of previously Rasch calibrated items. This exploratory study suggests that both regression and standardized measure change approaches may be viable techniques for the detection of response alteration patterns that are questionable. The educational importance of misfit is discussed. Three tables and five figures present simulation results. (Contains 18 references.) (SLD)