Detecting time-specific differences between temporal nonlinear curves: Analyzing data from the visual world paradigm.
Stat Methods Med Res
; 26(6): 2708-2725, 2017 Dec.
Article
em En
| MEDLINE
| ID: mdl-26400088
ABSTRACT
In multiple fields of study, time series measured at high frequencies are used to estimate population curves that describe the temporal evolution of some characteristic of interest. These curves are typically nonlinear, and the deviations of each series from the corresponding curve are highly autocorrelated. In this scenario, we propose a procedure to compare the response curves for different groups at specific points in time. The method involves fitting the curves, performing potentially hundreds of serially correlated tests, and appropriately adjusting the overall alpha level of the tests. Our motivating application comes from psycholinguistics and the visual world paradigm. We describe how the proposed technique can be adapted to compare fixation curves within subjects as well as between groups. Our results lead to conclusions beyond the scope of previous analyses.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Psicolinguística
/
Dinâmica não Linear
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Stat Methods Med Res
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Estados Unidos