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Can detailed instructions and comprehension checks increase the validity of crosswise model estimates?
The crosswise model is an indirect questioning technique designed to control for socially desirable responding. Although the technique has delivered promising results in terms of improved validity in survey studies of sensitive issues, recent studies have indicated that the crosswise model may somet...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326177/ https://www.ncbi.nlm.nih.gov/pubmed/32603352 http://dx.doi.org/10.1371/journal.pone.0235403 |
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author | Meisters, Julia Hoffmann, Adrian Musch, Jochen |
author_facet | Meisters, Julia Hoffmann, Adrian Musch, Jochen |
author_sort | Meisters, Julia |
collection | PubMed |
description | The crosswise model is an indirect questioning technique designed to control for socially desirable responding. Although the technique has delivered promising results in terms of improved validity in survey studies of sensitive issues, recent studies have indicated that the crosswise model may sometimes produce false positives. Hence, we investigated whether an insufficient understanding of the crosswise model instructions might be responsible for these false positives and whether ensuring a deeper understanding of the model and surveying more highly educated respondents reduces the problem of false positives. To this end, we experimentally manipulated the amount of information respondents received in the crosswise model instructions. We compared a crosswise model condition with only brief instructions and a crosswise model condition with detailed instructions and additional comprehension checks. Additionally, we compared the validity of crosswise model estimates between a higher- and a lower-educated subgroup of respondents. Our results indicate that false positives among highly educated respondents can be reduced when detailed instructions and comprehension checks are employed. Since false positives can also occur in direct questioning, they do not appear to be a specific flaw of the crosswise model, but rather a more general problem of self-reports on sensitive topics. False negatives were found to occur for all questioning techniques, but were less prevalent in the crosswise model than in the direct questioning condition. We highlight the importance of comprehension checks when applying indirect questioning and emphasize the necessity of developing instructions suitable for lower-educated respondents. |
format | Online Article Text |
id | pubmed-7326177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73261772020-07-10 Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? Meisters, Julia Hoffmann, Adrian Musch, Jochen PLoS One Research Article The crosswise model is an indirect questioning technique designed to control for socially desirable responding. Although the technique has delivered promising results in terms of improved validity in survey studies of sensitive issues, recent studies have indicated that the crosswise model may sometimes produce false positives. Hence, we investigated whether an insufficient understanding of the crosswise model instructions might be responsible for these false positives and whether ensuring a deeper understanding of the model and surveying more highly educated respondents reduces the problem of false positives. To this end, we experimentally manipulated the amount of information respondents received in the crosswise model instructions. We compared a crosswise model condition with only brief instructions and a crosswise model condition with detailed instructions and additional comprehension checks. Additionally, we compared the validity of crosswise model estimates between a higher- and a lower-educated subgroup of respondents. Our results indicate that false positives among highly educated respondents can be reduced when detailed instructions and comprehension checks are employed. Since false positives can also occur in direct questioning, they do not appear to be a specific flaw of the crosswise model, but rather a more general problem of self-reports on sensitive topics. False negatives were found to occur for all questioning techniques, but were less prevalent in the crosswise model than in the direct questioning condition. We highlight the importance of comprehension checks when applying indirect questioning and emphasize the necessity of developing instructions suitable for lower-educated respondents. Public Library of Science 2020-06-30 /pmc/articles/PMC7326177/ /pubmed/32603352 http://dx.doi.org/10.1371/journal.pone.0235403 Text en © 2020 Meisters et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Meisters, Julia Hoffmann, Adrian Musch, Jochen Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title | Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title_full | Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title_fullStr | Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title_full_unstemmed | Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title_short | Can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
title_sort | can detailed instructions and comprehension checks increase the validity of crosswise model estimates? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326177/ https://www.ncbi.nlm.nih.gov/pubmed/32603352 http://dx.doi.org/10.1371/journal.pone.0235403 |
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