Work

Detecting time-specific differences between temporal nonlinear curves: Analyzing data from the visual world paradigm

Year: 2015

Type: article

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.

Source: Statistical Methods in Medical Research

DOI: 10.1177/0962280215607411

Authors: Jacob J Oleson, Joseph E Cavanaugh, Bob McMurray, Grant Brown

Institution: University of Iowa

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institute on Deafness and Other Communication Disorders, National Center for Research Resources

Awards: G4228130969, G6822882167, Iowa Cochlear Implant Clinical Research Center VIII