An initial application of computerized adaptive testing (CAT) for measuring disability in patients with low back pain

[1]  A. Tennant,et al.  Validation of the World Health Organization disability assessment schedule II (WHODAS-II) in patients with osteoarthritis , 2011, Rheumatology International.

[2]  Otto B. Walter,et al.  An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception. , 2009, Journal of clinical epidemiology.

[3]  E. Badley Enhancing the conceptual clarity of the activity and participation components of the International Classification of Functioning, Disability, and Health. , 2008, Social science & medicine.

[4]  J. Kopec,et al.  Computerized Adaptive Testing in Back Pain: Validation of the CAT-5D-QOL , 2008, Spine.

[5]  R. Dickstein,et al.  Implementing an Integrated Electronic Outcomes and Electronic Health Record Process to Create a Foundation for Clinical Practice Improvement , 2008, Physical Therapy.

[6]  M Rose,et al.  Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS). , 2008, Journal of clinical epidemiology.

[7]  J. Caro,et al.  A systematic review of low back pain cost of illness studies in the United States and internationally. , 2008, The spine journal : official journal of the North American Spine Society.

[8]  Cherdsak Iramaneerat,et al.  An Introduction to Rasch Measurement , 2008 .

[9]  Alan Tennant,et al.  The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper? , 2007, Arthritis and rheumatism.

[10]  A. Jette,et al.  Prospective Evaluation of the AM-PAC-CAT in Outpatient Rehabilitation Settings , 2007, Physical Therapy.

[11]  Jakob B. Bjorner,et al.  IRT health outcomes data analysis project: an overview and summary , 2007, Quality of Life Research.

[12]  Julie F Pallant,et al.  An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). , 2007, The British journal of clinical psychology.

[13]  Bryce B. Reeve,et al.  Developing tailored instruments: item banking and computerized adaptive assessment , 2007, Quality of Life Research.

[14]  D. Andrich,et al.  RUMMss (Rasch Unidimensional Measurement Models Simulation Studies software), Version 2 , 2007 .

[15]  S. Haley,et al.  Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. , 2006, Archives of physical medicine and rehabilitation.

[16]  K. Cook,et al.  Simulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function. , 2006, Journal of clinical epidemiology.

[17]  S. Chatterji,et al.  Content Comparison of Low Back Pain-Specific Measures Based on the International Classification of Functioning, Disability and Health (ICF) , 2006, The Clinical journal of pain.

[18]  Cross-cultural validity of FIM in spinal cord injury , 2006, Spinal Cord.

[19]  P. Stratford,et al.  Simulated computerized adaptive test for patients with lumbar spine impairments was efficient and produced valid measures of function. , 2006, Journal of clinical epidemiology.

[20]  Otto B. Walter,et al.  Development of a Computer-adaptive Test for Depression (D-CAT) , 2005, Quality of Life Research.

[21]  L. Jönsson,et al.  Burden of Illness of Chronic Low Back Pain in Sweden: A Cross-Sectional, Retrospective Study in Primary Care Setting , 2005, Spine.

[22]  P. Stratford,et al.  Simulated computerized adaptive tests for measuring functional status were efficient with good discriminant validity in patients with hip, knee, or foot/ankle impairments. , 2005, Journal of clinical epidemiology.

[23]  S. Haley,et al.  A computer adaptive testing approach for assessing physical functioning in children and adolescents. , 2005 .

[24]  S. J. Sinclair,et al.  Item Response Theory and Computerized Adaptive Testing: Implications for Outcomes Measurement in Rehabilitation , 2005 .

[25]  A. Cieza,et al.  Content comparison of health-related quality of life (HRQOL) instruments based on the international classification of functioning, disability and health (ICF) , 2005, Quality of Life Research.

[26]  R. D. de Bie,et al.  ICF Core Sets for low back pain. , 2004, Journal of rehabilitation medicine.

[27]  D. Andrich,et al.  Is the sense of coherence-instrument applicable on adolescents? A latent trait analysis using Rasch-modelling , 2004 .

[28]  T. Fırat,et al.  Validation of the Turkish Version of the Oswestry Disability Index for Patients With Low Back Pain , 2004, Spine.

[29]  G. Chard International Classification of Functioning, Disability and Health , 2004 .

[30]  J. Thonnard,et al.  Assessing and Adjusting for Cross-Cultural Validity of Impairment and Activity Limitation Scales Through Differential Item Functioning Within the Framework of the Rasch Model: The PRO-ESOR Project , 2004, Medical care.

[31]  A. Dowson,et al.  Applications of computerized adaptive testing (CAT) to the assessment of headache impact , 2003, Quality of Life Research.

[32]  K. Conrad,et al.  Applications of Rasch Analysis in Health Care , 2004 .

[33]  Measures of adult back and neck function: The North American Spine Society (NASS) Lumbar Spine Outcome Assessment Instrument, Neck Disability Index, Oswestry Low Back Pain Disability Index, Quebec Back Pain Disability Scale, and Roland‐Morris Low Back Pain Measure , 2003 .

[34]  Everett V. Smith Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. , 2002, Journal of applied measurement.

[35]  A. Tennant,et al.  Validation of the Turkish Version of the Roland-Morris Disability Questionnaire for Use in Low Back Pain , 2001, Spine.

[36]  C. Bombardier,et al.  Multidisciplinary rehabilitation for chronic low back pain: systematic review , 2001, BMJ : British Medical Journal.

[37]  Steven P. Reise,et al.  Computerized Adaptive Testing: A Primer (Second Edition). Howard Wainer (Ed.) (with Neil Dorans, Donald Eignor, Ronald Flaugher, Bert Green, Robert Mislevy, Lynne Steinberg, and David Thissen). [book review] , 2001 .

[38]  G. Karabatsos,et al.  The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory. , 2001, Journal of applied measurement.

[39]  M. Roland,et al.  The Roland-Morris Disability Questionnaire and the Oswestry Disability Questionnaire. , 2000, Spine.

[40]  J. Teresi,et al.  Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures. , 2000, Statistics in medicine.

[41]  Howard Wainer,et al.  Computerized Adaptive Testing: A Primer , 2000 .

[42]  T. Arasıl,et al.  The development and psychometric assessment of the Turkish version of the Nottingham Health Profile , 2000, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[43]  George Lindfield,et al.  Numerical Methods Using MATLAB , 1998 .

[44]  R A Deyo,et al.  Outcome Measures for Low Back Pain Research: A Proposal for Standardized Use , 1998, Spine.

[45]  Barbara G. Dodd,et al.  Computerized Adaptive Testing With Polytomous Items , 1995 .

[46]  D. Altman,et al.  Multiple significance tests: the Bonferroni method. , 1995, BMJ.

[47]  I. W. Molenaar,et al.  Rasch models: foundations, recent developments and applications , 1995 .

[48]  Ivo W. Molenaar,et al.  Estimation of Item Parameters , 1995 .

[49]  J. Linacre,et al.  Sample size and item calibration stability , 1994 .

[50]  D. Vaughan,et al.  On the tiku-suresh method of estimation , 1992 .

[51]  William Stout,et al.  A New Item Response Theory Modeling Approach with Applications to Unidimensionality Assessment and Ability Estimation , 1990 .

[52]  D. D. Bickerstaff,et al.  Computerized adaptive testing , 2015 .

[53]  David Andrich,et al.  Rasch Models For Measurement , 1988 .

[54]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[55]  G. Masters A rasch model for partial credit scoring , 1982 .

[56]  Jan-Eric Gustafsson,et al.  Testing and obtaining fit of data to the Rasch model , 1980 .

[57]  Howard Wainer,et al.  The Rasch Model as Additive Conjoint Measurement , 1979 .

[58]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[59]  Wayne H. Holtzman,et al.  Computer-assisted instruction, testing, and guidance , 1970 .

[60]  Frederic M. Lord,et al.  SOME TEST THEORY FOR TAILORED TESTING , 1968 .

[61]  M. Tiku,et al.  Estimating the mean and standard deviation from a censored normal sample. , 1967, Biometrika.

[62]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[63]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .