Parameter identification in multinomial processing tree models
نویسندگان
چکیده
منابع مشابه
Using recursive partitioning to account for parameter heterogeneity in multinomial processing tree models.
In multinomial processing tree (MPT) models, individual differences between the participants in a study can lead to heterogeneity of the model parameters. While subject covariates may explain these differences, it is often unknown in advance how the parameters depend on the available covariates, that is, which variables play a role at all, interact, or have a nonlinear influence, etc. Therefore...
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ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2010
ISSN: 1554-351X,1554-3528
DOI: 10.3758/brm.42.3.836