02776nas a2200229 4500008004100000022001400041245015400055210006900209260000900278300000800287490000700295520193000302653001802232653003702250653001102287653002702298653002302325653003702348100002002385700001902405856012202424 2012 eng d a1471-228800aComparison of two Bayesian methods to detect mode effects between paper-based and computerized adaptive assessments: a preliminary Monte Carlo study.0 aComparison of two Bayesian methods to detect mode effects betwee c2012 a1240 v123 a

BACKGROUND: Computerized adaptive testing (CAT) is being applied to health outcome measures developed as paper-and-pencil (P&P) instruments. Differences in how respondents answer items administered by CAT vs. P&P can increase error in CAT-estimated measures if not identified and corrected.

METHOD: Two methods for detecting item-level mode effects are proposed using Bayesian estimation of posterior distributions of item parameters: (1) a modified robust Z (RZ) test, and (2) 95% credible intervals (CrI) for the CAT-P&P difference in item difficulty. A simulation study was conducted under the following conditions: (1) data-generating model (one- vs. two-parameter IRT model); (2) moderate vs. large DIF sizes; (3) percentage of DIF items (10% vs. 30%), and (4) mean difference in θ estimates across modes of 0 vs. 1 logits. This resulted in a total of 16 conditions with 10 generated datasets per condition.

RESULTS: Both methods evidenced good to excellent false positive control, with RZ providing better control of false positives and with slightly higher power for CrI, irrespective of measurement model. False positives increased when items were very easy to endorse and when there with mode differences in mean trait level. True positives were predicted by CAT item usage, absolute item difficulty and item discrimination. RZ outperformed CrI, due to better control of false positive DIF.

CONCLUSIONS: Whereas false positives were well controlled, particularly for RZ, power to detect DIF was suboptimal. Research is needed to examine the robustness of these methods under varying prior assumptions concerning the distribution of item and person parameters and when data fail to conform to prior assumptions. False identification of DIF when items were very easy to endorse is a problem warranting additional investigation.

10aBayes Theorem10aData Interpretation, Statistical10aHumans10aMathematical Computing10aMonte Carlo Method10aOutcome Assessment (Health Care)1 aRiley, Barth, B1 aCarle, Adam, C uhttp://www.iacat.org/content/comparison-two-bayesian-methods-detect-mode-effects-between-paper-based-and-computerized02749nas a2200409 4500008004100000020004600041245009400087210006900181250001500250260000800265300001200273490000700285520144500292653001501737653002001752653003101772653003001803653002001833653001901853653002601872653001101898653001101909653000901920653001601929653002601945653003701971653003002008653004402038653001802082653002002100653002802120100002002148700002302168700001602191700001702207856011502224 2009 eng d a1528-8447 (Electronic)1526-5900 (Linking)00aDevelopment and preliminary testing of a computerized adaptive assessment of chronic pain0 aDevelopment and preliminary testing of a computerized adaptive a a2009/07/15 cSep a932-9430 v103 aThe aim of this article is to report the development and preliminary testing of a prototype computerized adaptive test of chronic pain (CHRONIC PAIN-CAT) conducted in 2 stages: (1) evaluation of various item selection and stopping rules through real data-simulated administrations of CHRONIC PAIN-CAT; (2) a feasibility study of the actual prototype CHRONIC PAIN-CAT assessment system conducted in a pilot sample. Item calibrations developed from a US general population sample (N = 782) were used to program a pain severity and impact item bank (kappa = 45), and real data simulations were conducted to determine a CAT stopping rule. The CHRONIC PAIN-CAT was programmed on a tablet PC using QualityMetric's Dynamic Health Assessment (DYHNA) software and administered to a clinical sample of pain sufferers (n = 100). The CAT was completed in significantly less time than the static (full item bank) assessment (P < .001). On average, 5.6 items were dynamically administered by CAT to achieve a precise score. Scores estimated from the 2 assessments were highly correlated (r = .89), and both assessments discriminated across pain severity levels (P < .001, RV = .95). Patients' evaluations of the CHRONIC PAIN-CAT were favorable. PERSPECTIVE: This report demonstrates that the CHRONIC PAIN-CAT is feasible for administration in a clinic. The application has the potential to improve pain assessment and help clinicians manage chronic pain.10a*Computers10a*Questionnaires10aActivities of Daily Living10aAdaptation, Psychological10aChronic Disease10aCohort Studies10aDisability Evaluation10aFemale10aHumans10aMale10aMiddle Aged10aModels, Psychological10aOutcome Assessment (Health Care)10aPain Measurement/*methods10aPain, Intractable/*diagnosis/psychology10aPsychometrics10aQuality of Life10aUser-Computer Interface1 aAnatchkova, M D1 aSaris-Baglama, R N1 aKosinski, M1 aBjorner, J B uhttp://www.iacat.org/content/development-and-preliminary-testing-computerized-adaptive-assessment-chronic-pain03436nas a2200481 4500008004100000020004600041245013800087210006900225250001500294260000800309300001200317490000700329520191400336653002702250653002302277653003102300653001502331653001602346653001002362653002102372653002402393653002302417653003802440653001102478653002202489653001102511653001102522653000902533653003702542653002102579653003102600653002602631653001702657653003202674653001602706653002802722100001602750700001502766700001002781700001502791700002502806856012302831 2008 eng d a1532-821X (Electronic)0003-9993 (Linking)00aAssessing self-care and social function using a computer adaptive testing version of the pediatric evaluation of disability inventory0 aAssessing selfcare and social function using a computer adaptive a2008/04/01 cApr a622-6290 v893 aOBJECTIVE: To examine score agreement, validity, precision, and response burden of a prototype computer adaptive testing (CAT) version of the self-care and social function scales of the Pediatric Evaluation of Disability Inventory compared with the full-length version of these scales. DESIGN: Computer simulation analysis of cross-sectional and longitudinal retrospective data; cross-sectional prospective study. SETTING: Pediatric rehabilitation hospital, including inpatient acute rehabilitation, day school program, outpatient clinics; community-based day care, preschool, and children's homes. PARTICIPANTS: Children with disabilities (n=469) and 412 children with no disabilities (analytic sample); 38 children with disabilities and 35 children without disabilities (cross-validation sample). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Summary scores from prototype CAT applications of each scale using 15-, 10-, and 5-item stopping rules; scores from the full-length self-care and social function scales; time (in seconds) to complete assessments and respondent ratings of burden. RESULTS: Scores from both computer simulations and field administration of the prototype CATs were highly consistent with scores from full-length administration (r range, .94-.99). Using computer simulation of retrospective data, discriminant validity, and sensitivity to change of the CATs closely approximated that of the full-length scales, especially when the 15- and 10-item stopping rules were applied. In the cross-validation study the time to administer both CATs was 4 minutes, compared with over 16 minutes to complete the full-length scales. CONCLUSIONS: Self-care and social function score estimates from CAT administration are highly comparable with those obtained from full-length scale administration, with small losses in validity and precision and substantial decreases in administration time.10a*Disability Evaluation10a*Social Adjustment10aActivities of Daily Living10aAdolescent10aAge Factors10aChild10aChild, Preschool10aComputer Simulation10aCross-Over Studies10aDisabled Children/*rehabilitation10aFemale10aFollow-Up Studies10aHumans10aInfant10aMale10aOutcome Assessment (Health Care)10aReference Values10aReproducibility of Results10aRetrospective Studies10aRisk Factors10aSelf Care/*standards/trends10aSex Factors10aSickness Impact Profile1 aCoster, W J1 aHaley, S M1 aNi, P1 aDumas, H M1 aFragala-Pinkham, M A uhttp://www.iacat.org/content/assessing-self-care-and-social-function-using-computer-adaptive-testing-version-pediatric02560nas a2200313 4500008004100000020004100041245011500082210006900197250001500266300001100281490000700292520149300299653002701792653001001819653001401829653005301843653001501896653001101911653003701922653001801959653003101977653002602008653001402034653003202048100001502080700001002095700001502105856012602120 2008 eng d a0963-8288 (Print)0963-8288 (Linking)00aEfficiency and sensitivity of multidimensional computerized adaptive testing of pediatric physical functioning0 aEfficiency and sensitivity of multidimensional computerized adap a2008/02/26 a479-840 v303 aPURPOSE: Computerized adaptive tests (CATs) have efficiency advantages over fixed-length tests of physical functioning but may lose sensitivity when administering extremely low numbers of items. Multidimensional CATs may efficiently improve sensitivity by capitalizing on correlations between functional domains. Using a series of empirical simulations, we assessed the efficiency and sensitivity of multidimensional CATs compared to a longer fixed-length test. METHOD: Parent responses to the Pediatric Evaluation of Disability Inventory before and after intervention for 239 children at a pediatric rehabilitation hospital provided the data for this retrospective study. Reliability, effect size, and standardized response mean were compared between full-length self-care and mobility subscales and simulated multidimensional CATs with stopping rules at 40, 30, 20, and 10 items. RESULTS: Reliability was lowest in the 10-item CAT condition for the self-care (r = 0.85) and mobility (r = 0.79) subscales; all other conditions had high reliabilities (r > 0.94). All multidimensional CAT conditions had equivalent levels of sensitivity compared to the full set condition for both domains. CONCLUSIONS: Multidimensional CATs efficiently retain the sensitivity of longer fixed-length measures even with 5 items per dimension (10-item CAT condition). Measuring physical functioning with multidimensional CATs could enhance sensitivity following intervention while minimizing response burden.10a*Disability Evaluation10aChild10aComputers10aDisabled Children/*classification/rehabilitation10aEfficiency10aHumans10aOutcome Assessment (Health Care)10aPsychometrics10aReproducibility of Results10aRetrospective Studies10aSelf Care10aSensitivity and Specificity1 aAllen, D D1 aNi, P1 aHaley, S M uhttp://www.iacat.org/content/efficiency-and-sensitivity-multidimensional-computerized-adaptive-testing-pediatric-physical02567nas a2200349 4500008004100000020002200041245016600063210006900229250001500298260000800313300001100321490000700332520142900339653002701768653001601795653001501811653001001826653002101836653001401857653005201871653001501923653001101938653001101949653003701960653001801997653001402015100001502029700001002044700001602054700002502070856012202095 2006 eng d a0003-9993 (Print)00aMeasurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory0 aMeasurement precision and efficiency of multidimensional compute a2006/08/29 cSep a1223-90 v873 aOBJECTIVE: To compare the measurement efficiency and precision of a multidimensional computer adaptive testing (M-CAT) application to a unidimensional CAT (U-CAT) comparison using item bank data from 2 of the functional skills scales of the Pediatric Evaluation of Disability Inventory (PEDI). DESIGN: Using existing PEDI mobility and self-care item banks, we compared the stability of item calibrations and model fit between unidimensional and multidimensional Rasch models and compared the efficiency and precision of the U-CAT- and M-CAT-simulated assessments to a random draw of items. SETTING: Pediatric rehabilitation hospital and clinics. PARTICIPANTS: Clinical and normative samples. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Not applicable. RESULTS: The M-CAT had greater levels of precision and efficiency than the separate mobility and self-care U-CAT versions when using a similar number of items for each PEDI subdomain. Equivalent estimation of mobility and self-care scores can be achieved with a 25% to 40% item reduction with the M-CAT compared with the U-CAT. CONCLUSIONS: M-CAT applications appear to have both precision and efficiency advantages compared with separate U-CAT assessments when content subdomains have a high correlation. Practitioners may also realize interpretive advantages of reporting test score information for each subdomain when separate clinical inferences are desired.10a*Disability Evaluation10a*Pediatrics10aAdolescent10aChild10aChild, Preschool10aComputers10aDisabled Persons/*classification/rehabilitation10aEfficiency10aHumans10aInfant10aOutcome Assessment (Health Care)10aPsychometrics10aSelf Care1 aHaley, S M1 aNi, P1 aLudlow, L H1 aFragala-Pinkham, M A uhttp://www.iacat.org/content/measurement-precision-and-efficiency-multidimensional-computer-adaptive-testing-physical