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Loglinear Rasch models for the Analysis of Stability and Change

open access: yesPsychometrika, 1996
Loglinear unidimensional and multidimensional Rasch models are considered for the analysis of repeated observations of polytomous indicators with ordered response categories. Reparameterizations and parameter restrictions are provided which facilitate specification of a variety of hypotheses about latent processes of change.
Thorsten Meiser
openaire   +3 more sources

Analysis of Divergence in Loglinear Models When Expected Frequencies are Subject to Linear Constraints [PDF]

open access: yesMetrika, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pardo, L., Menéndez, M. L.
openaire   +2 more sources

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