In this article, a method is presented to analyse relationships between detection or discrimination frequencies and reaction times in psychophysical tasks. It is shown in three empirical data sets that reaction time decreases as a linear function of the absolute value of the logit transforms of the response probabilities. Such a function stresses the characteristic uncertainty associated with subjects' responses and the relation between their response parameters and the response criterion used by the subjectsEn este artículo se presenta un método para analizar las relaciones entre las frecuencias de detección o discriminación y el tiempo de reacción en tareas psicofísicas. A partir de tres conjuntos de datos empíricos se demuestra que el ti...
Cognitive psychologists have characterized the temporal properties of human information processing i...
This paper shows that tachisloscopic recognition, unlike reaction time (R.T.) is unaffected by time ...
Two detection cum latency models are constructed by combining sets of plausible assumptions about la...
In this article, a method is presented to analyse relationships between detection or discrimination ...
We develop a general theory of reaction time ({RT}) distributions in psychological experiments, deri...
This tutorial for the statistical processing of reaction times collected through a repeated-measure ...
Studies of reaction-time distributions provide a useful quantitative approach to understand decision...
Item does not contain fulltextWhen psychologists began to use intelligence tests, they also used sim...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
Human reaction time (RT) can be defined as the time elapsed from stimulus presentation until a react...
Statistical descriptions of reaction times are central components of quantitative attention models. ...
In sensory psychophysics reaction time is a measure of the stochastic latency elapsed from stimulus...
Theories of discrimination reaction time (DRT) partition the observed reaction time into two stages,...
Attention theory and parameter measurements of human ability to discriminate two sensory events succ...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
Cognitive psychologists have characterized the temporal properties of human information processing i...
This paper shows that tachisloscopic recognition, unlike reaction time (R.T.) is unaffected by time ...
Two detection cum latency models are constructed by combining sets of plausible assumptions about la...
In this article, a method is presented to analyse relationships between detection or discrimination ...
We develop a general theory of reaction time ({RT}) distributions in psychological experiments, deri...
This tutorial for the statistical processing of reaction times collected through a repeated-measure ...
Studies of reaction-time distributions provide a useful quantitative approach to understand decision...
Item does not contain fulltextWhen psychologists began to use intelligence tests, they also used sim...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
Human reaction time (RT) can be defined as the time elapsed from stimulus presentation until a react...
Statistical descriptions of reaction times are central components of quantitative attention models. ...
In sensory psychophysics reaction time is a measure of the stochastic latency elapsed from stimulus...
Theories of discrimination reaction time (DRT) partition the observed reaction time into two stages,...
Attention theory and parameter measurements of human ability to discriminate two sensory events succ...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
Cognitive psychologists have characterized the temporal properties of human information processing i...
This paper shows that tachisloscopic recognition, unlike reaction time (R.T.) is unaffected by time ...
Two detection cum latency models are constructed by combining sets of plausible assumptions about la...