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Kristina Rolin 《国际科学哲学研究》2015,29(4):413-429
The standard view on economics imperialism is that it should be resisted when it is epistemically or morally harmful. I argue that the moral dimension of economics imperialism is in need of further analysis. In my view, economics imperialism is wrong when imperialists violate the epistemic responsibility they have towards scientists working in the discipline that is the target for imperialist explorations. By epistemic responsibility, I refer to a moral duty to justify one’s knowledge claims to a particular audience so that the justification appeals to at least some of the standards of argumentation recognized by that audience. 相似文献
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In this paper, we study the identification of a particular case of the 3PL model, namely when the discrimination parameters are all constant and equal to 1. We term this model, 1PL-G model. The identification analysis is performed under three different specifications. The first specification considers the abilities as unknown parameters. It is proved that the item parameters and the abilities are identified if a difficulty parameter and a guessing parameter are fixed at zero. The second specification assumes that the abilities are mutually independent and identically distributed according to a distribution known up to the scale parameter. It is shown that the item parameters and the scale parameter are identified if a guessing parameter is fixed at zero. The third specification corresponds to a semi-parametric 1PL-G model, where the distribution G generating the abilities is a parameter of interest. It is not only shown that, after fixing a difficulty parameter and a guessing parameter at zero, the item parameters are identified, but also that under those restrictions the distribution G is not identified. It is finally shown that, after introducing two identification restrictions, either on the distribution G or on the item parameters, the distribution G and the item parameters are identified provided an infinite quantity of items is available. 相似文献
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Ernesto San Martín Alejandro Jara Jean-Marie Rolin Michel Mouchart 《Psychometrika》2011,76(3):385-409
We study the identification and consistency of Bayesian semiparametric IRT-type models, where the uncertainty on the abilities’
distribution is modeled using a prior distribution on the space of probability measures. We show that for the semiparametric
Rasch Poisson counts model, simple restrictions ensure the identification of a general distribution generating the abilities,
even for a finite number of probes. For the semiparametric Rasch model, only a finite number of properties of the general
abilities’ distribution can be identified by a finite number of items, which are completely characterized. The full identification
of the semiparametric Rasch model can be only achieved when an infinite number of items is available. The results are illustrated
using simulated data. 相似文献
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