191
Michell, J. (2000). Normal science, pathological science and psychometrics. Theory & Psychology,
10(5), 639–667.
Michell, J. (2004). Item response models, pathological science and the shape of error: Reply to
Borsboom and Mellenbergh. Theory & Psychology, 14(1), 121.
Michell, J. (2005). The logic of measurement: A realist overview. Measurement, 38, 285–294.
Mislevy, R. J. (2018). Sociocognitive foundations of educational measurement. New York:
Routledge.
Mundy, B. (1987). The metaphysics of quantity. Philosophical Studies, 51, 29–54.
Narens, L. (1985). Abstract measurement theory. Cambridge: MIT Press.
Narens, L. (2002). Theories of meaningfulness. London: Lawrence Erlbaum Associates.
Popper, K. (1959). The logic of scientific discovery. Abingdon-on-Thames: Routledge.
Rasch, G. (1960/1980). Probabilistic models for some intelligence and attainment tests. Chicago,
IL: University of Chicago Press.
Rasch, G. (1961). On general laws and the meaning of measurement in psychology. Proceedings
of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 4, 321-33.
Berkeley, CA: University of California Press.
Roberts, F. S. (1979). Measurement theory with applications to decision-making, utility and the
social sciences. Reading, MA: Addison-Wesley.
Rossi, G. B. (2006). A probabilistic theory of measurement. Measurement, 39, 34–50.
Rossi, G. B. (2007). Measurability. Measurement, 40, 545–562.
Rozeboom, W. W. (1984). Dispositions do explain: Picking up the pieces after hurricane Walter.
In J. R. Royce & L. P. Mos (Eds.), Annals of theoretical psychology (Vol. 1, pp. 205–224).
New York: Plenum.
Russell, B. (1903). The principles of mathematics. London: Bradford & Dickens.
Searle, J. (1992). The rediscovery of the mind. Cambridge: MIT Press.
Searle, J. (2010). Making the social world: The structure of human civilization. Oxford: Oxford
University Press.
Shannon, C. (1948). A mathematical theory of communication. Bell System Technical Journal, 27,
379–423. and 623–656.
Sherry, D. (2011). Thermoscopes, thermometers, and the foundations of measurement. Studies in
History and Philosophy of Science Part A, 42, 509–524.
Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 667–680.
Stevens, S. S. (1959). Measurement, psychophysics, and utility. In C. West Churchman & P.
Ratoosh (Eds.), Measurement, definitions and theories (pp.18–63). Wiley, New York.
Suppes, P. (1951). A set of independent axioms for extensive quantities. Portugaliæ Mathematica,
10(4), 163–172.
Suppes, P., & Zanotti, M. (1992). Qualitative axioms for random-variable representation of extensive quantities. In C. W. Savage & P. Ehrlich (Eds.), Philosophical and foundational issues in
measurement theory (pp. 39–52). Hillsdale, NJ: Lawrence Erlbaum.
Tal, E. (2019). Individuating quantities. Philosophical Studies, 176(4), 853–878.
Thurstone, L. L. (1928). Attitudes can be measured. American Journal of Sociology, 33, 529–544.
Velleman, P. F., & Wilkinson, L. (1993). Nominal, ordinal, interval, and ratio typologies are misleading. The American Statistician, 47, 65–72.
von Helmholtz, H. (1887). Zählen und Messen Erkenntnis–theoretisch betrachtet, Philosophische
Aufsätze Eduard Zeller gewidmet. Leipzig: Fuess. Translated as: Numbering and measuring
from an epistemological viewpoint. In From Kant to Hilbert: A sourcebook in the foundations
of mathematics: Vol. 2. Ewald, W. (Ed.). Oxford: Clarendon Press, 1996, pp. 727–752.
Weyl, H. (1949). Philosophy of mathematics and natural science. Princeton, NJ: Princeton
University Press.
Wilson, M., Mari, L., & Maul, A. (2019). The status of the concept of reference object in measurement in the human sciences compared to the physical sciences. Proc. Joint International
IMEKO TC1+ TC7+ TC13+TC18 Symposium, St Petersburg, Russian Federation, 2–5 July
2019, IOP Journal of Physics: Conference Series, 1379, 012025. Retrieved from iopscience.
iop.org/article/10.1088/1742- 6596/1379/1/012025/pdf
References
Michell, J. (2000). Normal science, pathological science and psychometrics. Theory & Psychology,
10(5), 639–667.
Michell, J. (2004). Item response models, pathological science and the shape of error: Reply to
Borsboom and Mellenbergh. Theory & Psychology, 14(1), 121.
Michell, J. (2005). The logic of measurement: A realist overview. Measurement, 38, 285–294.
Mislevy, R. J. (2018). Sociocognitive foundations of educational measurement. New York:
Routledge.
Mundy, B. (1987). The metaphysics of quantity. Philosophical Studies, 51, 29–54.
Narens, L. (1985). Abstract measurement theory. Cambridge: MIT Press.
Narens, L. (2002). Theories of meaningfulness. London: Lawrence Erlbaum Associates.
Popper, K. (1959). The logic of scientific discovery. Abingdon-on-Thames: Routledge.
Rasch, G. (1960/1980). Probabilistic models for some intelligence and attainment tests. Chicago,
IL: University of Chicago Press.
Rasch, G. (1961). On general laws and the meaning of measurement in psychology. Proceedings
of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 4, 321-33.
Berkeley, CA: University of California Press.
Roberts, F. S. (1979). Measurement theory with applications to decision-making, utility and the
social sciences. Reading, MA: Addison-Wesley.
Rossi, G. B. (2006). A probabilistic theory of measurement. Measurement, 39, 34–50.
Rossi, G. B. (2007). Measurability. Measurement, 40, 545–562.
Rozeboom, W. W. (1984). Dispositions do explain: Picking up the pieces after hurricane Walter.
In J. R. Royce & L. P. Mos (Eds.), Annals of theoretical psychology (Vol. 1, pp. 205–224).
New York: Plenum.
Russell, B. (1903). The principles of mathematics. London: Bradford & Dickens.
Searle, J. (1992). The rediscovery of the mind. Cambridge: MIT Press.
Searle, J. (2010). Making the social world: The structure of human civilization. Oxford: Oxford
University Press.
Shannon, C. (1948). A mathematical theory of communication. Bell System Technical Journal, 27,
379–423. and 623–656.
Sherry, D. (2011). Thermoscopes, thermometers, and the foundations of measurement. Studies in
History and Philosophy of Science Part A, 42, 509–524.
Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 667–680.
Stevens, S. S. (1959). Measurement, psychophysics, and utility. In C. West Churchman & P.
Ratoosh (Eds.), Measurement, definitions and theories (pp.18–63). Wiley, New York.
Suppes, P. (1951). A set of independent axioms for extensive quantities. Portugaliæ Mathematica,
10(4), 163–172.
Suppes, P., & Zanotti, M. (1992). Qualitative axioms for random-variable representation of extensive quantities. In C. W. Savage & P. Ehrlich (Eds.), Philosophical and foundational issues in
measurement theory (pp. 39–52). Hillsdale, NJ: Lawrence Erlbaum.
Tal, E. (2019). Individuating quantities. Philosophical Studies, 176(4), 853–878.
Thurstone, L. L. (1928). Attitudes can be measured. American Journal of Sociology, 33, 529–544.
Velleman, P. F., & Wilkinson, L. (1993). Nominal, ordinal, interval, and ratio typologies are misleading. The American Statistician, 47, 65–72.
von Helmholtz, H. (1887). Zählen und Messen Erkenntnis–theoretisch betrachtet, Philosophische
Aufsätze Eduard Zeller gewidmet. Leipzig: Fuess. Translated as: Numbering and measuring
from an epistemological viewpoint. In From Kant to Hilbert: A sourcebook in the foundations
of mathematics: Vol. 2. Ewald, W. (Ed.). Oxford: Clarendon Press, 1996, pp. 727–752.
Weyl, H. (1949). Philosophy of mathematics and natural science. Princeton, NJ: Princeton
University Press.
Wilson, M., Mari, L., & Maul, A. (2019). The status of the concept of reference object in measurement in the human sciences compared to the physical sciences. Proc. Joint International
IMEKO TC1+ TC7+ TC13+TC18 Symposium, St Petersburg, Russian Federation, 2–5 July
2019, IOP Journal of Physics: Conference Series, 1379, 012025. Retrieved from iopscience.
iop.org/article/10.1088/1742- 6596/1379/1/012025/pdf
References