• Modeling psychometric function...

Result: Modeling psychometric functions in R

Title:
Modeling psychometric functions in R
Authors:
YSSAAD-FESSEUER, KNOBLAUCH, Kenneth
Source:
Behavior research methods. 38(1):28-41
Publisher Information:
Austin, TX: Psychonomic Society, 2006.
Publication Year:
2006
Physical Description:
print, 22 ref
Original Material:
INIST-CNRS
Subject Terms:
Psychophysiology, Psychophysiologie, Psychology, psychopathology, psychiatry, Psychologie, psychopathologie, psychiatrie, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Psychométrie. Statistique. Méthodologie, Psychometrics. Statistics. Methodology, Statistique. Mathématiques, Statistics. Mathematics, Traitement informatique, Computer processing, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Fonction psychométrique, Psychometric function, Funcíon psichometrica, Modélisation, Modeling, Modelización, Méthode statistique, Statistical method, Método estadístico, Programme ordinateur, Computer program, Programa informático, Psychophysique, Psychophysics, Psicofísica
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
INSERM, U371, Bron, France
Université Claude Bernard Lyon 1, IFR19, Bron, France
ISSN:
1554-351X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17848788
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology

FRANCIS
Accession Number:
edscal.17848788
Database:
PASCAL Archive

Further Information

Modeling psychometric functions in R We demonstrate some procedures in the statistical computing environment R for obtaining maximum likelihood estimates of the parameters of a psychometric function by fitting a generalized nonlinear regression model to the data. A feature for fitting a linear model to the threshold (or other) parameters of several psychometric functions simultaneously provides a powerful tool for testing hypotheses about the data and, potentially, for reducing the number of parameters necessary to describe them. Finally, we illustrate procedures for treating one parameter as a random effect that would permit a simplified approach to modeling stimulus-independent variability due to factors such as lapses or interobserver differences. These tools will facilitate a more comprehensive and explicit approach to the modeling of psychometric data.