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Fumiko Samejima

Fumiko Samejima
Ph.D., Keio University (1965)

Phone: (865) 974-6843

Key words: Psychometric theory, cognitive psychology, item response theory.

Research Interests

Psychometric theory and methods; cognitive psychology; expanded item response theory; computer based research; cognitive diagnosis; information functions; graded response models; continuous response models.

Research statement

By bridging psychometric theory and methods with cognitive psychology using computer technologies, I have been involved in expanding item response theory (latent trait models). I have also proposed new families of mathematical models, called the acceleration model, the logistic positive exponent family of models, etc., as well as the competency space approach to cognitive assessment. These models can be utilized to clarify many issues in cognitive psychology.

  • Editorial Board, Applied Psychological Measurement
  • Reviewer, Mathematical Reviews
  • Editorial Board, Journal of Educational Statistics (1978-1981)
  • Board of Trustees, Psychometric Society (1989-1990)
  • itorial Board, Behaviormetrika (1994-1997)
  • Outstanding Technical Contribution, National Council of Measurement in Education (1991)
  • dent, Psychometric Society (1996-1997)
  • Selection Committee for Outstanding Dissertation Awards, National Council on Measurement in Education
  • Office of Naval Research (1977-1994)
  • Law School Admission Council (1999-2000)

Samejima, F. (2004). Graded response model. In K. Kempf-Leonard (Ed), Encyclopedia of Social Measurement. New York: Academic Press.

Samejima, F. (2000). Psychometric Society. In A.E. Kazdin (Ed), Encyclopedia of Psychology. Washington, DC: APA.

Samejima, F. (2000). Logistic positive exponent family of models: Virtue of asymmetric item characteristic curves. Psychometrika, 65, 319-335.

Samejima, F. (1998). Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses. Psychometrika, 63, 111-130.

Samejima, F. (1997). Graded response model. In W.J. van der Linden and R. Hambleton (Eds), Handbook of modern item response theory. New York: Springer-Verlag.

Samejima, F. (1997). Departure from normality: A future direction of psychometrics with substantive mathematical modeling. Psychometrika, 62, 471-493.

Samejima, F. (1996). Evaluation of mathematical

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