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Original

Selecting a Measurement Model for the Analysis of the National Institutes of Health Stroke Scale

, , &
Pages 1042-1059 | Received 19 Jan 2007, Published online: 21 Jul 2009

REFERENCES

  • Akaike H. Information theory and an extension of the maximum likelihood principle. The second international symposium on information theory, B. N. Petrov, F. Csaki. Akademiai Kiado, Budapest 1973; 267–281
  • Albanese M. A., Clarke W. R., Adams H. P., Jr., Woolson R. F. Ensuring reliability of outcome measures in multicenter clinical trials of treatments for acute ischemic stroke. The program developed for the Trial of Org 10172 in Acute Stroke Treatment (TOAST). Stroke 1994; 25: 1746–1751
  • Bock R., Mislevy R. J. Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement 1982; 6: 431–444
  • Bohannon R. W., Lee N., Maljanian R. Postadmission function best predicts acute hospital outcomes after stroke. American Journal of Physical Medicine & Rehabilitation 2002; 81: 726–730
  • Brott T., Adams H. P., Jr., Olinger C. P., Marler J. R., Barsan W. G., Biller J., et al. Measurements of acute cerebral infarction: A clinical examination scale. Stroke 1989; 20: 864–870
  • Burnham K. P., Anderson D. R. Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research 2004; 33: 261–304
  • Bushnell C. D., Johnston D. C., Goldstein L. B. Retrospective assessment of initial stroke severity: Comparison of the NIHSS and the Canadian Neurological Scale. Stroke 2001; 32: 656–660
  • Embretson S. E., Reise S. P. Item response theory for psychologists, , et al. Lawrence Erlbaum Associates, Mahwah, NJ 2000
  • Goldstein L. B., Bertels C., Davis J. N. Interrater reliability of the NIH stroke scale. Archives of Neurology 1989; 46: 660–662
  • Goldstein L. B., Samsa G. P. Reliability of the National Institutes of Health Stroke Scale: Extension to non-neurologists in the context of a clinical Trial. Stroke 1997; 28: 307–310
  • Heinemann A. W., Harvey R. L., McGuire J. R., Ingberman D., Lovell L., Semik P., et al. Measurement properties of the NIH Stroke Scale during acute rehabilitation. Stroke 1997; 28: 1174–1180
  • Kass R. E., Raftery A. E. Bayes factors. Journal of the American Statistical Association 1995; 90: 773–795
  • Kieseppa I. A. Statistical model selection criteria and Bayesianism, , et al. University of Helsinki, Helsinki 2002
  • Kuha J. AIC and BIC: Comparison of assumptions and performance. Sociological Methods & Research 2004; 33: 188–229
  • Lai S. M., Duncan P. W., Keighley J. Prediction of functional outcome after stroke: Comparison of the Orpington Prognostic Scale and the NIH Stroke Scale. Stroke 1998; 29: 1838–1842
  • Lin T. H., Dayton C. M. Model selection information criteria for non-nested latent class models. Journal of Educational and Behavioral Statistics 1997; 22: 249–264
  • Lyden P., Claesson L., Havstad S., Ashwood T., Lu M. Factor analysis of the National Institutes of Health Stroke Scale in patients with large strokes. Archives of Neurology 2004; 61: 1677–1680
  • Lyden P., Lu M., Jackson C., Marler J., Kothari R., Brott T., et al. Underlying structure of the National Institutes of Health Stroke Scale: Results of a factor analysis. Stroke 1999; 30: 2347–2354
  • Lyden P. D., Lau G. T. A critical appraisal of stroke evaluation and rating scales. Stroke 1991; 22: 1345–1352
  • Lyden P. D., Lu M., Levine S. R., Brott T. G., Broderick J. A modified National Institutes of Health Stroke Scale for use in stroke clinical trials: Preliminary reliability and validity. Stroke 2001; 32: 1310–1317
  • Lyden P. D., Shuaib A., Levin K., Atkinson R. P., Rajput A., Wechsler L., et al. Clomethiazole Acute Stroke Study in Ischemic Stroke (CLASS-I) final results. Stroke 2002; 33: 122–129
  • Masters G. N. A Rasch model for partial credit scoring. Psychometrika 1982; 47: 149–174
  • Masters G. N., Wright B. D. The partial credit model. Handbook of modern item response theory, W. J. Van der Linden, R. K. Hambleton. Springer, New York 1996; 101–121
  • Millis S. R., Straube D., Iramaneerat C., Smith E. V., Jr., Lyden P. Measurement properties of the National Institutes of Health Stroke Scale (NIHSS) for people with right- and left-hemisphere lesions: Further analysis of the Clomethiazole for Acute Stroke Study–Ischemia (Class-I) Trial. Archives of Physical Medicine & Rehabilitation 2007; 88: 302–308
  • Muir K. W., Weir C. J., Murray G. D., Povey C., Lees K. R. Comparison of neurological scales and scoring systems for acute stroke prognosis. Stroke 1996; 27: 1817–1820
  • Muraki E. A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement 1992; 16: 159–176
  • Muraki E. A generalized partial credit model. Handbook of modern item response theory, W. J. Van der Linden, R. K. Hambleton. Springer, New York 1996; 153–164
  • Muraki E., Bock D. Parscale (Version 4.1), , et al. Scientific Software International, Lincolnwood, IL 2004
  • Raftery A. E. Bayesian model selection in social research. Sociological Methodology 1995; 25: 111–163
  • Samejima F. Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement 1969; 34: 100
  • Samejima F. The graded response model. Handbook of modern item response theory, W. J. Van der Linden, R. K. Hambleton. Springer, New York 1996; 85–100
  • Schwarz G. Estimating the dimension of a model. The Annals of Statistics 1978; 6: 461–464
  • Sijtsma K., Molenaar I. W. Introduction to nonparametric item response theory, , et al. Sage Publications, Thousand Oaks, CA 2002
  • Smith E. V., Jr., Conrad J. M., Chang K., Piazza J. An introduction to Rasch measurement for scale development and person assessment. Journal of Nursing Measurement 2002; 10: 189–206
  • Tirschwell D. L., Longstreth W. T., Jr., Becker K. J., Gammans R. E., Sr., Sabounjian L. A., Hamilton S., et al. Shortening the NIH Stroke Scale for use in the prehospital setting. Stroke 2002; 33: 2801–2806
  • Wright B. D. Solving measurement problems with the Rasch model. Journal of Educational Measurement 1977; 14: 97–116

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