1 Rijmen, F., "The random weights linear logistic test model" 26 : 271-285, 2002
2 Fischer, G. H., "The linear logistic test model as an instrument in educational research" 37 : 357-374, 1973
3 Wu, M. L., "The development and application of a fit test for use with marginal maximum likelihood estimation and generalized item response models" University of Melbourne 1997
4 SAS Institute, "SAS online doc. (version 8)" SAS Institute Inc 1999
5 Wright, B. D., "Rating scale analysis" MESA press 1982
6 Adams, R. J., "Quest. Melbourne" Australia Council for Educational Research 1996
7 Lin, T. H., "Model selection information criteria for non-nested latent class models" 22 : 249-264, 1997
8 Wang, W., "Measuring individual differences in change with Rasch models" 2 (2): 240-265, 1998
9 Bock, R. D., "Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm" 46 : 443-459, 1981
10 Fischer, G. H., "Linear logistic models for change, In Rasch models: Foundations, recent developments, and applications" Springer 157-180, 1995
1 Rijmen, F., "The random weights linear logistic test model" 26 : 271-285, 2002
2 Fischer, G. H., "The linear logistic test model as an instrument in educational research" 37 : 357-374, 1973
3 Wu, M. L., "The development and application of a fit test for use with marginal maximum likelihood estimation and generalized item response models" University of Melbourne 1997
4 SAS Institute, "SAS online doc. (version 8)" SAS Institute Inc 1999
5 Wright, B. D., "Rating scale analysis" MESA press 1982
6 Adams, R. J., "Quest. Melbourne" Australia Council for Educational Research 1996
7 Lin, T. H., "Model selection information criteria for non-nested latent class models" 22 : 249-264, 1997
8 Wang, W., "Measuring individual differences in change with Rasch models" 2 (2): 240-265, 1998
9 Bock, R. D., "Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm" 46 : 443-459, 1981
10 Fischer, G. H., "Linear logistic models for change, In Rasch models: Foundations, recent developments, and applications" Springer 157-180, 1995
11 Hoijtink, H., "Linear and repeated measures models for the person parameters, In Rasch models: Foundations, recent developments, and applications" Springer 204-214, 1995
12 Wang, W. -C., "Item parameter recovery, standard error estimates, and fit statistics of the WINSTEPS program for the family of Rasch models" 65 : 376-404, 2005
13 Robert, J. S., "IRT models to assess change across repeated measurements" 2005
14 Wang, W., "Gain scores in item response theory as an effect size measure" 64 : 758-780, 2004
15 De Boeck, P., "Explanatory item response models: A generalized linear and nonlinear approach" Springer 2004
16 Schwarz, G., "Estimating the dimension of a model" 6 : 461-464, 1978
17 Fischer, G. H., "Derivations of the Rasch models, In Rasch models: Foundations, recent developments, and applications" Springer 15-38, 1995
18 Wilson, M., "Constructing measures: An item response modeling approach" Lawrence Erlbaum Associates 2004
19 te Marvelde, J. M., "Application of multidimensional item response theory models to longitudinal data" 66 : 5-34, 2006
20 Fischer, G. H., "An IRT-based model for dichotomous longitudinal data" 54 : 599-624, 1989
21 Wu, M. L., "ACER ConQuest: Generalized item response modeling software" ACER 1998
22 Akaike, H., "A new look at the statistical model identification" 19 : 716-723, 1974
23 Embretson, S. E., "A multidimensional latent trait model for measuring learning and change" 56 : 495-515, 1991