Evidence map›Paper›PMID 35717204›Full record

ArticleInternational journal of health geographics2022

Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences.

Karen E Nielsen, Shannon T Mejía, Richard Gonzalez

Abstract read
In one paragraph

Article in International journal of health geographics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Karen E NielsenDepartment of Population Health Sciences, School of Public Health, Georgia State University, 140 Decatur St. Suite 400, Atlanta, GA, 30303, USA. knielsen4@gsu.edu.ORCID 0000-0003-3771-5272
Shannon T MejíaDepartment of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, 906 S. Goodwin Ave., Urbana, IL, 61801, USA.ORCID 0000-0002-0250-2667
Richard GonzalezDepartment of Psychology and Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-6334-0430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBehavioral science researchers are increasingly collecting detailed location data such as second-by-second GPS tracking on participants due to increased ease and affordability. While intraindividual variability has been discussed in the travel literature for decades, traditional methods designed for studying individual differences in central tendencies limit the extent to which novel questions about variability in lived experiences can be answered. Thus, new methods of quantifying behavior that focus on intraindividual variability are needed to address the context in which the behavior occurs and the location tracking data from which behavior is derived.

methodsWe propose deviations from typical paths as a data processing technique to separate individual-level typical travel behavior from a location tracking data set in order to highlight atypical travel behavior as an outcome measure.

resultsA simulated data example shows how the method works to produce deviation measures from a location dataset. Analysis of these deviations offers additional insights compared to traditional measures of maximum daily distance from home.

conclusionsThis process can be integrated into larger research questions to explore predictors of atypical behavior and potential mechanisms of behavior change.

Indexed as

Behavioral SciencesGeographic Information SystemsData CollectionHumansTravelAnalytic frameworkDeviationsGPS trackingIntraindividual variabilityMulti-day studiesUncertainty in travel behavior

Identifiers

PMID35717204
PMCPMC9206293

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.