A hierarchical signal detection model with unequal variance for binary responses.
Psychon Bull Rev
; 2024 May 28.
Article
en En
| MEDLINE
| ID: mdl-38806791
ABSTRACT
Gaussian signal detection models with equal variance are commonly used in simple yes-no detection and discrimination tasks whereas more flexible models with unequal variance require additional information. Here, a hierarchical Bayesian model with equal variance is extended to an unequal-variance model by exploiting variability of hit and false-alarm rates in a random sample of participants. This hierarchical model is investigated analytically, in simulations and in applications to existing data sets. The results suggest that signal variance and other parameters can be accurately estimated if plausible assumptions are met. It is concluded that the model provides a promising alternative to the ubiquitous equal-variance model for binary data.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Psychon Bull Rev
Asunto de la revista:
PSICOLOGIA
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Estados Unidos