The role of parametric assumptions in adaptive Bayesian estimation.

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Alcalá Quintana, Rocío and 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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Official URL: http://dx.doi.org/10.1037/1082-989X.9.2.250




Abstract

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.


Item Type:Article
Uncontrolled Keywords:Error of Measurement; Parametric Statistical Tests; Psychometrics ; Statistical Estimation
Palabras clave (otros idiomas):Error de medidas; Pruebas estadísticas paramétricas; Psicometría, Estimación estadística
Subjects:Medical sciences > Psychology > Experimental psychology
Medical sciences > Psychology > Psychometrics
ID Code:35705
Deposited On:05 Sep 2016 10:23
Last Modified:05 Sep 2016 10:23

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