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11.
This article provides a many-facet Rasch measurement (MFRM) analysis of go/no-go association task (GNAT)-based measures of
implicit attitudes toward sweet and salty food. We describe the statistical model and the strategy we adopted to score the
GNAT, and we emphasize that, when analyzing implicit measures, MFRM indexes have to be interpreted in a peculiar way. In comparison
with traditional scoring algorithms, an MFRM analysis of implicit measures provides some additional information and suffers
from fewer limitations and assumptions. MFRM might help to overcome some limitations of current implicit measures, since it
directly addresses some known issues and potential confounds, such as those related to a rational zero point, to the arbitrariness
of the metric, and to participants’ task-set switching ability. 相似文献
12.
In the Basic Local Independence Model (BLIM) of Doignon and Falmagne (Knowledge Spaces, Springer, Berlin, 1999), the probabilistic relationship between the latent knowledge states and the observable response patterns is established
by the introduction of a pair of parameters for each of the problems: a lucky guess probability and a careless error probability.
In estimating the parameters of the BLIM with an empirical data set, it is desirable that such probabilities remain reasonably
small. A special case of the BLIM is proposed where the parameter space of such probabilities is constrained. A simulation
study shows that the constrained BLIM is more effective than the unconstrained one, in recovering a probabilistic knowledge
structure. 相似文献
13.
Pasquale Anselmi Egidio Robusto Luca Stefanutti Debora de Chiusole 《Psychometrika》2016,81(2):461-482
In knowledge space theory, existing adaptive assessment procedures can only be applied when suitable estimates of their parameters are available. In this paper, an iterative procedure is proposed, which upgrades its parameters with the increasing number of assessments. The first assessments are run using parameter values that favor accuracy over efficiency. Subsequent assessments are run using new parameter values estimated on the incomplete response patterns from previous assessments. Parameter estimation is carried out through a new probabilistic model for missing-at-random data. Two simulation studies show that, with the increasing number of assessments, the performance of the proposed procedure approaches that of gold standards. 相似文献
14.
Within the framework of knowledge space theory, a probabilistic skill multimap model for assessing learning processes is proposed.
The learning process of a student is modeled as a function of the interaction between his competence state and the effect
of a learning object on specific skills. Model parameters are initial probabilities of the skills, effects of learning objects
on gaining and losing the skills, careless error, and lucky guess probabilities of the problems. A simulation study assessed
model identifiability and goodness-of-recovery under several conditions. Practical implications of using the model are discussed,
and the MATLAB code for simulating, estimating and testing it is available in the Psychonomic Society supplemental archive. 相似文献