Universidad Complutense de Madrid
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The role of parametric assumptions in adaptive Bayesian estimation.

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Alcalá Quintana, Rocío y García Pérez, Miguel Ángel (2004) The role of parametric assumptions in adaptive Bayesian estimation. Psychological methods, 9 (2). pp. 250-271. ISSN 1082-989X

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URL Oficial: http://dx.doi.org/10.1037/1082-989X.9.2.250




Resumen

Variants of adaptive Bayesian procedures for estimating the 5% point on a psychometric function were studied by simulation. Bias and standard error were the criteria to evaluate performance. The results indicated a superiority of (a) uniform priors, (b) model likelihood functions that are odd symmetric about threshold and that have parameter values larger than their counterparts in the psychometric function, (c) stimulus placement at the prior mean, and (d) estimates defined as the posterior mean. Unbiasedness arises in only 10 trials, and 20 trials ensure constant standard errors. The standard error of the estimates equals 0.617 times the inverse of the square root of the number of trials. Other variants yielded bias and larger standard errors.


Tipo de documento:Artículo
Palabras clave:Error of Measurement; Parametric Statistical Tests; Psychometrics ; Statistical Estimation
Palabras clave (otros idiomas):Error de medidas; Pruebas estadísticas paramétricas; Psicometría, Estimación estadística
Materias:Ciencias Biomédicas > Psicología > Psicología experimental
Ciencias Biomédicas > Psicología > Psicometría
Código ID:35705
Depositado:05 Sep 2016 10:23
Última Modificación:05 Sep 2016 10:23

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