A computer adaptive testing simulation applied to the XXXX instrument motor component.

@entity15467 @entity1 @entity1566 @entity1319
OBJECTIVE: To determine whether computer adaptive testing (CAT) can be used to decrease the number of @entity15467 trade mark instrument motor component items administered in assessing @entity1 with @entity1566 ( @entity1566 ). DESIGN: For a CAT simulation, a 3-step algorithm was used to select 6 @entity15467 items for each individual; items were selected according to the subject's motor ability as estimated by 2 initial items. Separate estimates of motor ability for admission, discharge, and follow-up data (plus combined time points) derived from 6 items were compared statistically with estimates derived from 14 items (walking and wheelchair mobility were split). SETTING: Records from the @entity1566 ( @entity1566 ). @entity1 : @entity1 served by the @entity1566 , for whom complete motor @entity15467 information was available for rehabilitation admission (N=5,969), discharge (N=5,964), or follow-up at a first or later anniversary (N=5,176). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Similarity of mean, standard deviation, @entity1319 , kurtosis, and Rasch reliability and separation of @entity1 and items based on 6 and 13 items; intraclass correlation coefficient (ICC) for parallel estimates. RESULTS: Calibrations for @entity15467 items and @entity15467 steps differed for the 3 time points, but showed sufficient agreement (ICC, >.90) that combined calibration was feasible. Means and other distribution characteristics differed minimally between the 6- and 13-item estimates. The @entity1 and item separations and reliabilities were somewhat lower and the mean measurement errors somewhat higher for the 6-item estimates, but only marginally so. ICCs between 6- and 13-item estimates were .95 or higher. CONCLUSION: CAT can be used to reduce data collection time; the level of precision of estimates is minimally less than that provided by traditional assessment approaches.
