Open Access
16th International Congress of Metrology
Article Number 14001
Number of page(s) 4
Section Métrologie sensorielle / Soft metrology
Published online 07 October 2013
  • EN15224:2012 ”Health care services – Quality management systems – Requirements based on EN ISO 9001:2008” European standard [Google Scholar]
  • W P Fisher, Jr., 1997 ”Physical Disability Construct Convergence Across Instruments: Towards a Universal Metric”, Journal of Outcome Measurement, 1(2), pp 87–113 [PubMed] [Google Scholar]
  • E Svensson 2001, “Guidelines to statistical evaluation of data from rating scales and questionnaires”, J Rehab Med; 33: 47–48 [Google Scholar]
  • L R Pendrill, B Berglund et al. 2010 “Measurement with Persons: A European Network“, NCSLi Measure, Vol. 5 No. 2 • June 2010, pp. 42 – 54 [Google Scholar]
  • M Wilson 2011 ”The role of mathematical models in measurement: a perspective from psychometrics”, Joint International IMEKO TC1+ TC7+ TC13 Symposium August 31st – September 2nd, 2011, Jena (DE) [Google Scholar]
  • De Battisti, F., Nicolini, G. and Salini, S. (2005). “Rasch model to measure service quality”. ICFAI Journal of Services Marketing, III(3), 58–80 [Google Scholar]
  • Rasch, G. 1961, ”On general laws and the meaning of measurement in psychology”, pp. 321–334 in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, IV. Berkeley, California: University of California Press. Available free from Project Euclid [Google Scholar]
  • Kenneth Knoblauch and Laurence T. Maloney 2008 ” MLDS: Maximum Likelihood Difference Scaling in R”, Journal of Statistical Software, Volume 25, Issue 2. pp. 1–26, [Google Scholar]
  • L T Maloney and J N Yang 2003, ”Maximum likelihood difference scaling”, Journal of Vision 3, 573 – 85 [CrossRef] [PubMed] [Google Scholar]
  • B Schneider 1980, “Individual loudness functions determined from direct comparisons of loudness intervals”, Perception and Psychophysics, 28(6), 493–503. [PubMed] [CrossRef] [Google Scholar]
  • J Z Sun, G I Wang, V K Goyal and L R Varshney 2012 ”A framework for Bayesian optimality of psychophysical laws”, Journal of Mathematical Psychology, [Google Scholar]
  • L R Pendrill and W P Fisher Jr. 2013 ”Quantifying Human Response: Linking metrological and psychometric characterisations of Man as a Measurement Instrument”, Joint IMEKO TC1-TC7-TC13 Symposium, Measurement across physical and behavioural sciences, 4–6 September 2013, Genova, Palazzo Ducale (IT) [Google Scholar]
  • S Dehaene, V Izard, E Spelke and P Pica 2008, ”Log or Linear? Distinct Intuitions of the Number Scale in Western and Amazonian Indigene Cultures”, SCIENCE, 320, 1217 – 20 [CrossRef] [PubMed] [Google Scholar]
  • B Berglund 2011, ”Measurements in psychology”, in book “Theory and methods of measurements with persons”, Editors: B Berglund, G B. Rossi, J Townsend and L R Pendrill, Psychology Press, Taylor & Francis [Google Scholar]
  • E Bashkansky, S Dror, R Ravid, P Grabov 2007 “Effectiveness of a Product Quality Classifier”. Quality Engineering 19(3): 235–244 [CrossRef] [Google Scholar]
  • G Taguchi, S Chowdhury and Y Wu 2004 ”Taguchi’s Quality Engineering Handbook”, NJ: John Wiley & Sons, ISBN-10: 0471413348 [Google Scholar]
  • D Kahneman and A Tversky 1979 ”Prospect Theory: An Analysis of Decision under Risk” Econometrica, 47(2), pp. 263–291 [CrossRef] [Google Scholar]