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Efficiency of Static and Computer Adaptive Short Forms Compared to Full-Length Measures of Depressive Symptoms
Seung W. Choi, Steven P. Reise, Paul A. Pilkonis, Ron D. Hays and David Cella
Quality of Life Research
Vol. 19, No. 1 (Feb., 2010), pp. 125-136
Published by: Springer
Stable URL: http://www.jstor.org/stable/40539924
Page Count: 12
You can always find the topics here!Topics: Depressive disorders, Psychometrics, Efficiency metrics, Simulations, Logistics, Psychology, Term weighting, Maximum likelihood estimation, Employee assistance programs, Standard deviation
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Purpose Short-form patient-reported outcome measures are popular because they minimize patient burden. We assessed the efficiency of static short forms and computer adaptive testing (CAT) using data from the Patient-Reported Outcomes Measurement Information System (PROMIS) project. Methods We evaluated the 28-item PROMIS depressive symptoms bank. We used post hoc simulations based on the PROMIS calibration sample to compare several shortform selection strategies and the PROMIS CAT to the total item bank score. Results Compared with full-bank scores, all short forms and CAT produced highly correlated scores, but CAT outperformed each static short form in almost all criteria. However, short-form selection strategies performed only marginally worse than CAT. The performance gap observed in static forms was reduced by using a two-stage branching test format. Conclusions Using several polytomous items in a calibrated unidimensional bank to measure depressive symptoms yielded a CAT that provided marginally superior efficiency compared to static short forms. The efficiency of a two-stage semi-adaptive testing strategy was so close to CAT that it warrants further consideration and study.
Quality of Life Research © 2010 Springer