Andrich, D. (1978). A rating formulation for ordered response categories . Psychometrika, 43, 561-573.
2.
Andrich, D. (1982). An extension of the Rasch model for ratings providing both location and dispersion parameters. Psychometrika, 47, 105-113.
3.
Andrich, D. (1988). A general form of Rasch's extended logistic model for partial credit scoring. Applied Measurement in Education , 1, 363-378.
4.
Applebee, A.N., Langer, J.A., Mullis, I.V.S., Latham, A.S., & Gentile, C.A. (1994). NAEP writing report card. Washington DC: National Center for Education Statistics.
5.
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. M. Lord & M. R. Novick, Statistical theories of mental test scores (pp. 397-479). Reading MA: Addison-Wesley.
6.
Bock, R.D. (1972). Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika, 37, 29-51.
7.
Bock, R.D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika , 46, 443-459.
8.
Bock, R.D., Gibbons, R., & Muraki, E. (1988). Full-information item factor analysis. Applied Psychological Measurement, 12, 261-280.
9.
Bock, R.D., & Jones, L.V. (1968). Measurement and prediction of judgment and choice . San Francisco: Holden-Day.
10.
Bock, R.D., & Lieberman, M. (1970). Fitting a response model for n dichotomously scored items. Psychometrika, 35, 179-197.
11.
Bock, R.D., & Mislevy, R.J. (1982). Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement, 6, 431-444.
12.
Carlson, J.E. (1987). Multidimensional item response theory estimation: A computer program (Research Report 87-19). Iowa City IA: The American College Testing Program.
13.
Dempster, A.P., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39, (Series B), 1-38.
14.
Haberman, S.J. (1977). Log-linear models and frequency tables with small expected cell counts. Annals of Statistics, 5, 1148-1169.
15.
Hendrickson, A.E., & White, P.O. (1964). PROMAX: A quick method for rotation to oblique simple structure. British Journal of Mathematical and Statistical Psychology, 17, 65-70.
16.
Johnson, E.G., Carlson, J.E., & Kline, D.L. (1994). The NAEP 1992 technical report. Washington DC:National Center for Education Statistics .
17.
Kaiser, H.F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187-200.
18.
Luecht, R.M. (1993, April). A marginal maximum likelihood approach to deriving multidimensional composite abilities under the generalized partial credit model. Paper presented at the annual meeting of the American Educational Research Association, Atlanta.
19.
Luecht, R.M., & Miller, T.R. (1992). Unidimensional calibrations and interpretations of composite traits for multidimensional tests. Applied Psychological Measurement, 16, 279-293.
20.
Masters, G.N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149-174.
21.
McDonald, R.P. (1965). Difficulty factors and non-linear factor analysis . British Journal of Mathematical and Statistical Psychology , 18, 11-23.
22.
McDonald, R.P., & Ahlawat, K.S. (1974). Difficulty factors in binary data. British Journal of Mathematical and Statistical Psychology, 27, 82-99.
23.
McKinley, R.L., & Reckase, M.D. (1983). An extension of the two-parameter logistic model to the multidimensional latent space (Research Report ONR 83-2). Iowa City IA: The American College Testing Program.
24.
Miller, T.R., & Hirsch, T.M. (1992). Cluster analysis of angular data in applications of multidimensional item-response theory. Applied Measurement in Education, 5, 193-211.
25.
Mislevy, R.J., & Bock, R.D. (1990). BILOG 3: Item analysis and test scoring with binary logistic models (2nd ed.). Mooresville IN: Scientific Software.
26.
Muraki, E. (1990). Fitting a polytomous item response model to Likert-type data. Applied Psychological Measurement, 14, 59-71.
27.
Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16, 159-176.
Reckase, M.D. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401-412.
30.
Reckase, M.D., & McKinley, R.L. (1991). The discriminating power of items that measure more than one dimension. Applied Psychological Measurement, 15, 361-373.
31.
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, No. 17.
32.
Samejima, F. (1972). A general model for free-response data. Psychometrika Monograph Supplement, No. 18.