Identifiability Of Non Linear Logistic Test Models
Door: Bechger, T.M., Verhelst, N.D., Verstralen, H.H.F.M. | 01-01-2000 The linear logistic test model (LLTM) specifies the item parameters as a weighted sum of basic parameters.The LLTM is a special case of a more general non-linear logistic test model (NLTM) where the weights are partially unknown. This paper is about the identifiability of the NLTM. Sufficient and necessary conditions for global identifiability are presented for a NLTM where the weights are linear functions, while conditions for local identifiability are shown to require less assumptions. It is also discussed how these conditions are checked using an algorithm due to Bekker, Merckens, and Wansbeek (1994). Several illustrations are given.
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