Person:
Alcalá Quintana, Rocío

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First Name
Rocío
Last Name
Alcalá Quintana
URI
https://hdl.handle.net/20.500.14352/80039
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Psicología
Department
Psicobiología y Metodología en Ciencias del Comportamiento
Area
Metodología de las Ciencias del Comportamiento
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Author: García Pérez, Miguel Ángel × Subject: 159.9.072 ×

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    The role of parametric assumptions in adaptive Bayesian estimation.
    (Psychological methods, 2004) Alcalá Quintana, Rocío; García Pérez, Miguel Ángel
    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.