Repository for the data and the analysis of the Kantar Health Infratest Survey that we conducted in December 2015

Virginia Flanagin 5b4ac416fc Upload S3 2 months ago
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README.md

Wayfinding_Survey

Repository for the data and the analysis of the Kantar Health Infratest Survey conducted in December 2015. This was a self-report telephone survey of a cross-sectional sample of the German population. The original sample was N = 1003, of those 783 had a complete data set. Individuals were asked about their income, education, gender, age and where they lived. They were then given a modified version of the Wayfinding Scale (Lawton 1994), based on their preferred method of travel, as well as a few questions about whether they get lost in large multi-level buildings. Finally, persons were asked about the presence of vertigo and how well their sense of balance is.

Using linear regression models, the influence on sociodemographics and balance on the use of the route or the orientation strategy was assessed in this population.

Datacite.yml
Title Who gets lost and why: A representative cross-sectional survey on sociodemographic and vestibular determinants of wayfinding strategies
Authors Ulrich,Susanne;The Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich
Grill,Eva;The Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Munich;https://orcid.org/0000-0002-0273-7984
Flanagin,Virginia L.;The German Center for Vertigo and Balance Disorders (DSGZ), LMU Munich;https://orcid.org/0000-0002-6677-459X
Description This respository contains the data, analysis files and supporting information for the article titled above.
License Creative Commons CC Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References Wayfinding and the vestibular system [10.1101/419986] (IsPartOf)
Funding BMBF, IFB.01EO1401
Keywords wayfinding ability
navigation
cognitive map
vertigo
dizziness
representative sample
German
Resource Type Dataset