Conjoint Measurement and the Rasch Paradox: A Response to Kyngdon

Theory & Psychology

Volumn 18, Issue 1, 2008, Pages 119-124

  Michell, Joel ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

conjoint measurement; psychometrics; Rasch model; representational theory

Indexed keywords

EID: 39449094532     PISSN: 09593543     EISSN: None     Source Type: Journal    
DOI: 10.1177/0959354307086926     Document Type: Article

References (20)

1. Campbell, N.R. (1920). Physics the elements. Cambridge: Cambridge University Press.
2. Guttman, L. (1944). A basis for scaling qualitative data. American Sociological Review, 9, 139–150.
3. Krantz, D.H., Luce, R.D., Suppes, P., & Tversky, A. (1971). Foundations of measurement: Vol. I. Additive and polynomial representations. New York: Academic Press.
4. Kyngdon, A. (2008). The Rasch model from the perspective of the representational theory of measurement. Theory & Psychology, 18, 89–109.
5. Lord, F.M. & Novick, M.R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
6. Louviere, J.J. (2001). Conjoint analysis applications. In N.J. Smelser & P.B. Baaltes (Eds.), International encyclopedia of the social & behavioural sciences (pp. 2565–2568). Amsterdam: Elsevier.
7. Michell, J. (1990). An introduction to the logic of psychological measurement. Hillsdale, NJ: Erlbaum.
8. Michell, J. (1995). Further thoughts on realism, representationalism, and the foundations of measurement theory. Journal of Mathematical Psychology, 39, 243–247.
9. Michell, J. (1997a). Bertrand Russell's 1897 critique of the traditional theory of measurement. Synthese, 110, 257–276.
10. Michell, J. (1997b). Quantitative science and the definition of measurement in psychology. British Journal of Psychology, 88, 355–383.
11. Michell, J. (1999). Measurement in psychology: A critical history of a methodological concept. Cambridge: Cambridge University Press.
12. Michell, J. (2000). Normal science, pathological science and psychometrics. Theory & Psychology, 10, 639–667.
13. Michell, J. (2005). The logic of measurement: A realist overview. Measurement, 38, 285–294.
14. Michell, J. (2006). Psychophysics, intensive magnitudes, and the psychometricians’ fallacy. Studies in History & Philosophy of Biological and Biomedical Sciences, 17, 414–431.
15. Michell, J. (2007a). Measurement. In S. Turner & M. Risjord (Eds.), Philosophy of anthropology and sociology (pp. 71–119). Amsterdam: Elsevier.
16. Michell, J. (2007b). Representational theory of measurement. In M. Boumans (Ed.), Measurement in economics: A handbook (pp. 19–39). Amsterdam: Elsevier.
17. Michell, J., & Ernst, C. (1996). The axioms of quantity and the theory of measurement: Translated from Part I of Otto Hölder's German text of ‘Die Axiome der Quantitåt und die Lehre vom Mass’. Journal of Mathematical Psychology, 40, 235–252. (Original work published 1901)
18. Michell, J., & Ernst, C. (1997). The axioms of quantity and the theory of measurement: Translated from Part II of Otto Hölder's German text of ‘Die Axiome der Quantitåt und die Lehre vom Mass’. Journal of Mathematical Psychology, 41, 345–356. (Original work published 1901)
19. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research.
20. Stevens, S.S. (1946). On the theory of scales of measurement. Science, 103, 677–680.