Abstract
This study presents validity and reliability evidence for the Assessment of Compared Qualities—Occupational Performance (ACQ–OP), an innovative occupation-focused tool designed to measure the extent of the discrepancy between two perspectives: a person’s self-report and direct observation.
(1) The ACQ–OP rating scale demonstrates sound psychometric properties (i.e., ordered category measures and goodness of fit of the rating scale categories; MnSq ≤ 1.5).
(2) The ACQ–OP items and activities of daily living (ADL) tasks define a single unidimensional construct (i.e., goodness of fit; MnSq ≤ 1.4 and/or z < 2).
(3) The ACQ–OP tasks/items separate people by differing levels of discrepancy between self-reported and observed quality of ADL task performance (separation index ≥ 2; separation reliability ≥ .80).
(4) The ACQ–OP measures are reliable (i.e., SE ≤ 0.4).
Developing a new instrument requires evaluating preliminary data to ensure that the new tool demonstrates sound psychometric qualities. Rasch measurement methods are preferred for generating such evidence.
When the ACQ–OP is administered, the person is first evaluated using the Assessment of Motor and Process Skills (AMPS). More specifically, the person is observed performing two prioritized ADL tasks. Immediately following each AMPS observation, the ACQ–OP interview is administered by asking 11 open-ended questions designed to encourage the person to reflect on and report any perceived problems with ADL task performance. Following the ACQ–OP interview, the occupational therapist scores the AMPS and compares the AMPS results to the responses that the person gave during the ACQ–OP interview. The 11 ACQ–OP items are then scored, using a four-category rating scale, on the basis of the extent of discrepancy between the two perspectives, observed and reported.
Each person’s raw ACQ–OP scores were analyzed using many-facet Rasch (MFR) analysis that adjusted each person’s ACQ–OP measure to account for rater severity and challenge of the observed ADL task. MFR analyses routinely generate the statistics specified in the research questions described earlier.
