00577nas a2200145 4500008004100000245012000041210006900161300001400230490000700244100001400251700001400265700001900279700001800298856011500316 2008 eng d00aComputerized adaptive testing for patients with knee inpairments produced valid and responsive measures of function0 aComputerized adaptive testing for patients with knee inpairments a1113-11240 v611 aHart, D L1 aWang, Y-C1 aStratford, P W1 aMioduski, J E uhttp://iacat.org/content/computerized-adaptive-testing-patients-knee-inpairments-produced-valid-and-responsive02107nas a2200229 4500008004100000245013800041210006900179300001400248490000700262520127000269653003101539653003401570653002501604653001701629653001901646653002401665100001401689700001801703700001701721700001901738856012001757 2006 eng d00aSimulated computerized adaptive test for patients with lumbar spine impairments was efficient and produced valid measures of function0 aSimulated computerized adaptive test for patients with lumbar sp a947–9560 v593 aObjective: To equate physical functioning (PF) items with Back Pain Functional Scale (BPFS) items, develop a computerized adaptive test (CAT) designed to assess lumbar spine functional status (LFS) in people with lumbar spine impairments, and compare discriminant validity of LFS measures (qIRT) generated using all items analyzed with a rating scale Item Response Theory model (RSM) and measures generated using the simulated CAT (qCAT). Methods: We performed a secondary analysis of retrospective intake rehabilitation data. Results: Unidimensionality and local independence of 25 BPFS and PF items were supported. Differential item functioning was negligible for levels of symptom acuity, gender, age, and surgical history. The RSM fit the data well. A lumbar spine specific CAT was developed that was 72% more efficient than using all 25 items to estimate LFS measures. qIRT and qCAT measures did not discriminate patients by symptom acuity, age, or gender, but discriminated patients by surgical history in similar clinically logical ways. qCAT measures were as precise as qIRT measures. Conclusion: A body part specific simulated CAT developed from an LFS item bank was efficient and produced precise measures of LFS without eroding discriminant validity.10aBack Pain Functional Scale10acomputerized adaptive testing10aItem Response Theory10aLumbar spine10aRehabilitation10aTrue-score equating1 aHart, D L1 aMioduski, J E1 aWerneke, M W1 aStratford, P W uhttp://iacat.org/content/simulated-computerized-adaptive-test-patients-lumbar-spine-impairments-was-efficient-and-002649nas a2200409 4500008004100000245013400041210006900175300001000244490000700254520123100261653002501492653003201517653003101549653001001580653000901590653002201599653003301621653001101654653001101665653000901676653001601685653002401701653003101725653004101756653004501797653006801842653006101910653003001971653002802001653002202029100001402051700001302065700001802078700001402096700001502110856011402125 2006 eng d00aSimulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function0 aSimulated computerized adaptive test for patients with shoulder a290-80 v593 aBACKGROUND AND OBJECTIVE: To test unidimensionality and local independence of a set of shoulder functional status (SFS) items, develop a computerized adaptive test (CAT) of the items using a rating scale item response theory model (RSM), and compare discriminant validity of measures generated using all items (theta(IRT)) and measures generated using the simulated CAT (theta(CAT)). STUDY DESIGN AND SETTING: We performed a secondary analysis of data collected prospectively during rehabilitation of 400 patients with shoulder impairments who completed 60 SFS items. RESULTS: Factor analytic techniques supported that the 42 SFS items formed a unidimensional scale and were locally independent. Except for five items, which were deleted, the RSM fit the data well. The remaining 37 SFS items were used to generate the CAT. On average, 6 items were needed to estimate precise measures of function using the SFS CAT, compared with all 37 SFS items. The theta(IRT) and theta(CAT) measures were highly correlated (r = .96) and resulted in similar classifications of patients. CONCLUSION: The simulated SFS CAT was efficient and produced precise, clinically relevant measures of functional status with good discriminating ability.10a*Computer Simulation10a*Range of Motion, Articular10aActivities of Daily Living10aAdult10aAged10aAged, 80 and over10aFactor Analysis, Statistical10aFemale10aHumans10aMale10aMiddle Aged10aProspective Studies10aReproducibility of Results10aResearch Support, N.I.H., Extramural10aResearch Support, U.S. Gov't, Non-P.H.S.10aShoulder Dislocation/*physiopathology/psychology/rehabilitation10aShoulder Pain/*physiopathology/psychology/rehabilitation10aShoulder/*physiopathology10aSickness Impact Profile10aTreatment Outcome1 aHart, D L1 aCook, KF1 aMioduski, J E1 aTeal, C R1 aCrane, P K uhttp://iacat.org/content/simulated-computerized-adaptive-test-patients-shoulder-impairments-was-efficient-and02068nas a2200217 4500008004500000245013400045210006900179300001200248490000700260520127300267653003401540653004201574653002501616653001901641100001401660700001301674700001801687700001401705700001501719856011601734 2006 Engldsh 00aSimulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function0 aSimulated computerized adaptive test for patients with shoulder a290-2980 v593 a
Background and Objective: To test unidimensionality and local independence of a set of shoulder functional status (SFS) items,
develop a computerized adaptive test (CAT) of the items using a rating scale item response theory model (RSM), and compare discriminant validity of measures generated using all items (qIRT) and measures generated using the simulated CAT (qCAT).
Study Design and Setting: We performed a secondary analysis of data collected prospectively during rehabilitation of 400 patients
with shoulder impairments who completed 60 SFS items.
Results: Factor analytic techniques supported that the 42 SFS items formed a unidimensional scale and were locally independent. Except for five items, which were deleted, the RSM fit the data well. The remaining 37 SFS items were used to generate the CAT. On average, 6 items on were needed to estimate precise measures of function using the SFS CAT, compared with all 37 SFS items. The qIRT and qCAT measures were highly correlated (r 5 .96) and resulted in similar classifications of patients.
Conclusion: The simulated SFS CAT was efficient and produced precise, clinically relevant measures of functional status with good
discriminating ability.