Affordable Access

deepdyve-link
Publisher Website

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

Authors
  • Oleson, Jacob J1
  • Cavanaugh, Joseph E1
  • McMurray, Bob2
  • Brown, Grant1
  • 1 1 Department of Biostatistics, The University of Iowa, Iowa City, Iowa, USA.
  • 2 2 Department of Psychology, The University of Iowa, Iowa City, Iowa, USA.
Type
Published Article
Journal
Statistical Methods in Medical Research
Publisher
SAGE Publications
Publication Date
Dec 01, 2017
Volume
26
Issue
6
Pages
2708–2725
Identifiers
DOI: 10.1177/0962280215607411
PMID: 26400088
Source
Medline
Keywords
License
Unknown

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.

Report this publication

Statistics

Seen <100 times