Thomas Chesney
The Impact of repeated lying on survey results
Chesney, Thomas; Penny, Kay I
Authors
Kay I Penny
Abstract
We study the effects on results of participants completing a survey more than once, a phenomenon known as farming. Using data from a real social science study as a baseline, three strategies that participants might use to farm are studied by Monte Carlo simulation. Findings show that farming influences survey results and can cause both statistical hypotheses testing Type I (false positive) and Type II (false negative) errors in unpredictable ways.
Citation
Chesney, T., & Penny, K. I. (2013). The Impact of repeated lying on survey results. SAGE Open, 3(1), https://doi.org/10.1177/2158244012472345
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 16, 2013 |
Publication Date | Jan 1, 2013 |
Deposit Date | Apr 29, 2015 |
Publicly Available Date | Apr 29, 2015 |
Print ISSN | 2158-2440 |
Electronic ISSN | 2158-2440 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 1 |
DOI | https://doi.org/10.1177/2158244012472345 |
Keywords | Survey results; farming; Monte Carlo simulation; statistical hypotheses testing Type I (false positive); Type II (false negative); lying; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/7884 |
Publisher URL | http://dx.doi.org/10.1177/2158244012472345 |
Files
The Impact Of Repeated Lying On Survey Results
(671 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
You might also like
Estimating Scottish student retention rates using propensity score matching
(2013)
Journal Article
Record linkage in Scotland and its application to health research
(2012)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search