The many-facet Rasch model in the analysis of the go/no-go association task |
| |
Authors: | Michelangelo Vianello Egidio Robusto |
| |
Institution: | (1) School of Psychology, Cardiff University, Cardiff CF10 3AT, Wales, United Kingdom |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 PubMed SpringerLink 等数据库收录! |
|