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References |
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The following papers are main
documents that are useful for understanding the latent rank theory (neural
test theory). |
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Amari, S. (1980) Bulletin
of Mathematical Biology, 42,
339-364. Topographic
organization of nerve fields. |
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Bishop, C. M., Svensen, M., & Williams, C. K. I.
(1998) Neural Computation, 10, 215-234. GTM:
The generative topographic mapping. |
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Bock, R. D. (1972) Psychometrika, 37, 29-51. Estimating
item parameters and latent ability when responses are scored in two or more
nominal categories. |
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Bock, R. D., Gibbons, R., & Muraki, E. (1994) Applied Psychological Measurement, 12, 261-280. Full-information
item factor analysis. |
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Croon, M. (2002) In J. A. Hagenaars & A. L. McCutcheon
(Eds.) Applied latent class analysis.
Cambridge University Press. Ordering
the classes. (pp. 137-162). |
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Dempster, A. P., Laird, N. M. & Rubin, D. B. (1977)
Journal of the Royal Statistical
Society, Series B, 39, 1-38. Maximum
likelihood from incomplete data via the EM algorithm (with discussion). |
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Hambleton, R. K. & Swaminathan, H. (1985)
Kluwer-Nijhoff. Item response theory. |
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Hastie, T., Tibshirani, R. & Friedman, J. (2001)
Springer-Verlag. The elements of statistical learning. |
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Junker, B. W. & Sijtsma, K. (2001) Applied Psychological Measurement, 25, 211-220. Nonparametric
item response theory in action: An overview of the special issue. |
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Kim, S.-H. & Cohen, A. S. (1998) Applied Psychological Measurement, 22, 131-143. A
comparison of linking and concurrent calibration under item response theory. |
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Kohonen, T. (1995) Springer. Self-organizing maps. |
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Lord, F. M. (1980) Lawrence Erlbaum Associates. Applications of item response theory to
practical testing problems. |
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Mokken, R. J. & Lewis, C. (1982) Applied Psychological Measurement, 6, 417-430. A
nonparametric approach to the analysis of dichotomous item responses. |
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Muraki, E. (1992) Applied
Psychological Measurement, 16,
159-176. A
generalized partial credit model: Application of and EM algorithm. |
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Muraki, E., & Carlson, J. E. (1995) Applied Psychological Measurement, 19, 73-90. Full-information
factor analysis for polytomous item responses. |
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Petrov, A. A. & Anderson, J. R. (2005). Psychological Review, 112, 383-416. The
dynamics of scaling: A memory-based anchor model of category rating and
absolute identification. It
was greatly appreciated that Dr. Kenpei Shiina (Waseda University) informed
me the paper. |
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Samejima, F. (1969) Psychometrika
Monograph, No.17. Estimation
of latent ability using a response pattern of graded scores. |
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Shojima, K., Otsu, T., & Taguri, M. (2006) Japanese Journal for Research on Testing,
2, 75-89. (in Japanese with
English abstract) Scholastic
achievement structure of The National Center Test 2005 using self-organizing
map and full-information maximum likelihood method. |
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Shojima, K. (2007) Japanese
Journal for Research on Testing, 3,
161-178. (in Japanese with English abstract) Scholastic
achievement structure of National Center Test 2006 by self-organizing map. |
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Sijtsma, K. (1998) Applied
Psychological Measurement, 22,
3-32. Methodology
review: Nonparametric IRT approaches to the analysis of dichotomous item
scores. |
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Sijtsma, K. & Mollenar, I. W. (2002) Sage
Publications, Inc. Introduction to nonparametric item response
theory. |