The multinomial processing tree model shows multiple cognitive pathways underlying participants’ responses to happy, sad, and neutral stimuli. D is the probability that participants clearly perceive and detect an emotional signal; d is the probability of identifying the emotional category; a is the probability that participants guess the emotional category when they cannot identify the emotional category (1-d); b is the probability of guessing the presence of an emotional signal when participants cannot detect an emotional signal (1-D); g is the probability of guessing the emotional category after guessing emotional signals with b.</p
A Multinomial Processing Tree (MPT) is a directed tree with a probability associated with each arc a...
Multinomial processing tree (MPT) models account for observed categorical responses by assuming a fi...
<p>A) A schematic of the method, which models the population density of activation across the brain ...
Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psycholog...
Hierarchical multinomial models 2 Multinomial processing tree models are widely used in many areas o...
Implicit measures were developed to provide relatively pure estimates of attitudes and stereotypes, ...
Abstract We introduce MPTinR, a software package devel-oped for the analysis of multinomial processi...
We introduce MPTinR, a software package developed for the analysis of multinomial processing tree (M...
Multinomial processing tree models assume that discrete cognitive states determine observed response...
Multinomial processing tree model played an important role in human information processing. A method...
In psychology, multinomial processing tree (MPT) models explain how qualitatively different processe...
Multinomial processing tree (MPT) models such as the single high-threshold, double high-threshold, a...
We present a multi-phase model of emotions that integrates automatic and fast affective reactions wi...
Multinomialprocessing tree (MPT) models are in wide use as measurement models for analyzing categori...
Understanding emotion is critical for a science of healthy and disordered brain function, but the ne...
A Multinomial Processing Tree (MPT) is a directed tree with a probability associated with each arc a...
Multinomial processing tree (MPT) models account for observed categorical responses by assuming a fi...
<p>A) A schematic of the method, which models the population density of activation across the brain ...
Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psycholog...
Hierarchical multinomial models 2 Multinomial processing tree models are widely used in many areas o...
Implicit measures were developed to provide relatively pure estimates of attitudes and stereotypes, ...
Abstract We introduce MPTinR, a software package devel-oped for the analysis of multinomial processi...
We introduce MPTinR, a software package developed for the analysis of multinomial processing tree (M...
Multinomial processing tree models assume that discrete cognitive states determine observed response...
Multinomial processing tree model played an important role in human information processing. A method...
In psychology, multinomial processing tree (MPT) models explain how qualitatively different processe...
Multinomial processing tree (MPT) models such as the single high-threshold, double high-threshold, a...
We present a multi-phase model of emotions that integrates automatic and fast affective reactions wi...
Multinomialprocessing tree (MPT) models are in wide use as measurement models for analyzing categori...
Understanding emotion is critical for a science of healthy and disordered brain function, but the ne...
A Multinomial Processing Tree (MPT) is a directed tree with a probability associated with each arc a...
Multinomial processing tree (MPT) models account for observed categorical responses by assuming a fi...
<p>A) A schematic of the method, which models the population density of activation across the brain ...