Correct and incorrect responses from the IAT were then modeled with the quadruple process or quad model (Sherman et al., 2008), which is a
multinomial processing tree model that has been validated across a variety of tasks, including the IAT (Conrey et al., 2005; Sherman et al., 2008).
To verify our model and to verify the difference between cross projects and single project, we compare it with the Naive Bayes
Multinomial approach; the Lamkanfi's work [11, 12], which is a well-known prediction method; and an emotional similarity-based severity method [13].
We then calibrate probabilities using
multinomial logistic regression, a common means of calibrating three or more probabilities to a national total (8) that applies constant odds ratios rather than a constant arithmetic difference, allowing well-predicted probabilities to increase more than proportionately.
To address this question, I run the same logit and
multinomial logit regressions that are shown in panel A of table 3 for classification schemes 2 and 3.
Keywords: Local product, consumer,
multinomial logit, purchase place, Turkey.
(9) Specifically, the FMLogit model assumes that the M conditional means have a
multinomial logit functional form in linear indexes as
We used
multinomial logistic regression when the predictor variables are nominal.
Due to three discrete outcomes of the dependent variable, the
multinomial logistic regression (MNL) was selected for the modelling purpose, as adopted by many previous studies in this field [25-28].
To do so, we modeled the risk surface using a
multinomial generalized additive model (GAM).