307
Views
23
CrossRef citations to date
0
Altmetric
Invited Articles

P-Drive on-road: Internal scale validity and reliability of an assessment of on-road driving performance in people with neurological disorders

, , &
Pages 86-93 | Received 15 Jan 2009, Accepted 25 May 2009, Published online: 22 Feb 2010

References

  • Lundqvist A, Gerdle B, Rönnberg J. Neuropsychological aspects of driving after stroke: In the simulator and on the road. Appl Cognitive Psych 2000; 14: 135–50
  • Mazer B, Korner-Bitensky N, Sofer S. Predicting ability to drive after stroke. Arch Phys Med Rehabil 1998; 79: 743–50
  • Wilson T, Smith T. Driving after stroke. Int J Rehabil Med 1983; 5: 170–7
  • Duchek J, Carr D, Hunt L, Roe C, Xiong C, Shah K, et al. Longitudinal driving performance in early-stage dementia of the Alzheimer type. J Am Geriatr Soc 2003; 51: 1342–47
  • Hunt L, Murphy C, Carr D, Duchek J, Buckles V, Morris J. Reliability of the Washington University Road Test: A performance-based assessment for drivers with dementia of the Alzheimer type. Arch Neurol 1997; 54: 707–12
  • Dubinsky R, Stein A, Lyons K. Practice parameters: Risk of driving and Alzheimer disease (an evidence-based review). Neurology 2000; 54: 2205–11
  • Odenheimer G, Beaudet M, Jette A, Albert M, Grande L, Minaker K. Performance-based driving evaluation of the elderly driver: Safety, reliability, and validity. J Gerontol 1994; 49: M153–9
  • Merbitz C, Morris J, Grip JC. Ordinal scales and foundations of misinference. Arch Phys Med Rehabil 1989; 70: 308–12
  • Akinwuntan A., DeWeerdt W., Feys H., Baten G., Arno P., Kiekens C. Reliability of a road test after stroke. Arch Phys Med Rehabil 2003; 84: 1792–6
  • De Raedt R, Ponjaert-Kristoffersen I. Predicting at-fault car accidents of older drivers. Accid Anal Prev 2001; 33: 809–19
  • Tesio L. Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. J Rehabil Med 2003; 35: 105–15
  • Larsson H, Lundberg C, Falkmer T, Johansson K. A survey of occupational therapists' involvement and performance in driving assessment. Scand J Occup Ther 2007; 14: 215–20
  • Patomella, A-H, Johansson, K, Tham, K. Lived experience of driving ability following stroke. Disabil Rehabil 2008;October 1–8, [Epub ahead of print].
  • Patomella A-H, Caneman G, Kottorp A, Tham K. Identifying scale and person response validity of a new assessment of driving ability. Scand J Occup Ther 2004; 11: 70–7
  • Patomella A-H, Tham K, Kottorp A. P-Drive: Assessment of driving performance after stroke. J Rehabil Med 2006; 38: 273–9
  • Michon J. A critical view of driver behavioral models: What do we know, what should we do?. Plenum Press, New York 1985
  • Freund B, Gravenstein S, Ferris R, Shaheen E. Evaluating driving performance of cognitively impaired and healthy older adults: A pilot study comparing on-road and driving simulation. J Am Geriatr Soc 2002; 50: 1309–15
  • Lee H, Cameron D, Lee A. Assessing the driving performance of older adult drivers: On-road versus simulated driving. Accid Anal Prev 2003; 35: 797–803
  • Linacre JM. Winsteps-Rasch Model computer program. 3.63.0 ed. winsteps.com, Chicago 2005
  • Bond T, Fox C. Applying the Rasch model: Fundamental measurement in the human sciences. Lawrence Erlbaum, Mahwah 2007
  • Linacre, JM. Optimizing rating scale category effectiveness. In. Smith, EV, Smith, RM,Introduction to Rasch measurement: Theory, models and applications. JAM Press; 2004.
  • Linacre, JM. Guidelines for rating scales. In: Midwest Objective Measurement Seminar; 1997. Chicago: MESA Research Note #2, 1997.
  • Fisher AG. The assessment of IADL motor skills: An application of many-faceted Rasch analysis. Am J Occup Ther 1993; 47: 319–29
  • Wright BD, Linacre JM. Reasonable mean-square fit values. Rasch measurement transactions 1994; 8: 370
  • Kottorp A, Bernspång B, Fisher AG. Validity of a performance assessment of activities of daily living for people with developmental disabilities. J Intel Dis Res 2003; 47: 597–605
  • Tham K, Bernspång B, Fisher AG. Development of the assessment of awareness of disability. Scand J Occup Ther 1999; 6: 184–90
  • Smith E. Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. J Appl Meas 2002; 3(2)205–231
  • Linacre JM. Detecting multidimensionality: Which residual data-type works best?. J Outcome Measurement 1998; 2: 266–83
  • Linacre, JM. A users' guide to WINSTEPS, MINISTEPS, Rasch-model computer programs. Program manual 3.68.0. Available at: http://www.winsteps.com/a/winsteps.pdf[accessed February 20, 2009].
  • Tesio L, Valsecchi MR, Guzzon P, Battaglia MA. Level of activity in profound/severe mental retardation (LAPMER): A Rasch-derived scale of disability. J Appl Meas 2002; 3: 50–84
  • Fisher W. Reliability statistics. Rasch measurement transactions 1992; 6: 238
  • Wright B, Stone M. Best test design. Mesa Press, Chicago 1979
  • Petersen R. Mild cognitive impairment as a diagnostic entity. J Int Med 2004; 256: 183–94
  • Swedish National Road Administration. SFS. 1998: 1276 Trafikförordning [Traffic rules and regulations]. Swedish Government, Ministry of Finance1998.
  • Engelhard G. Examining rater errors in the assessment of written composition with a many-faceted Rasch model. J Educ Meas 1994; 31: 93–112

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.