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Can We Trust the Internet to Measure Psychotic Symptoms?
Online studies are increasingly utilized in applied research. However, lack of external diagnostic verification in many of these investigations is seen as a threat to the reliability of the data. The present study examined the robustness of internet studies on psychosis against simulation. We compar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3725883/ https://www.ncbi.nlm.nih.gov/pubmed/23936652 http://dx.doi.org/10.1155/2013/457010 |
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author | Moritz, Steffen Van Quaquebeke, Niels Lincoln, Tania M. Köther, Ulf Andreou, Christina |
author_facet | Moritz, Steffen Van Quaquebeke, Niels Lincoln, Tania M. Köther, Ulf Andreou, Christina |
author_sort | Moritz, Steffen |
collection | PubMed |
description | Online studies are increasingly utilized in applied research. However, lack of external diagnostic verification in many of these investigations is seen as a threat to the reliability of the data. The present study examined the robustness of internet studies on psychosis against simulation. We compared the psychometric properties of the Community Assessment of Psychic Experiences scale (CAPE), a self-report instrument measuring psychotic symptoms, across three independent samples: (1) participants with a confirmed diagnosis of schizophrenia, (2) participants with self-reported schizophrenia who were recruited over the internet, and (3) clinical experts on schizophrenia as well as students who were asked to simulate a person with schizophrenia when completing the CAPE. The CAPE was complemented by a newly developed 4-item psychosis lie scale. Results demonstrate that experts asked to simulate schizophrenia symptoms could be distinguished from real patients: simulators overreported positive symptoms and showed elevated scores on the psychosis lie scale. The present study suggests that simulated answers in online studies on psychosis can be distinguished from authentic responses. Researchers conducting clinical online studies are advised to adopt a number of methodological precautions and to compare the psychometric properties of online studies to established clinical indices to assert the validity of their results. |
format | Online Article Text |
id | pubmed-3725883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37258832013-08-09 Can We Trust the Internet to Measure Psychotic Symptoms? Moritz, Steffen Van Quaquebeke, Niels Lincoln, Tania M. Köther, Ulf Andreou, Christina Schizophr Res Treatment Research Article Online studies are increasingly utilized in applied research. However, lack of external diagnostic verification in many of these investigations is seen as a threat to the reliability of the data. The present study examined the robustness of internet studies on psychosis against simulation. We compared the psychometric properties of the Community Assessment of Psychic Experiences scale (CAPE), a self-report instrument measuring psychotic symptoms, across three independent samples: (1) participants with a confirmed diagnosis of schizophrenia, (2) participants with self-reported schizophrenia who were recruited over the internet, and (3) clinical experts on schizophrenia as well as students who were asked to simulate a person with schizophrenia when completing the CAPE. The CAPE was complemented by a newly developed 4-item psychosis lie scale. Results demonstrate that experts asked to simulate schizophrenia symptoms could be distinguished from real patients: simulators overreported positive symptoms and showed elevated scores on the psychosis lie scale. The present study suggests that simulated answers in online studies on psychosis can be distinguished from authentic responses. Researchers conducting clinical online studies are advised to adopt a number of methodological precautions and to compare the psychometric properties of online studies to established clinical indices to assert the validity of their results. Hindawi Publishing Corporation 2013 2013-07-10 /pmc/articles/PMC3725883/ /pubmed/23936652 http://dx.doi.org/10.1155/2013/457010 Text en Copyright © 2013 Steffen Moritz et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Moritz, Steffen Van Quaquebeke, Niels Lincoln, Tania M. Köther, Ulf Andreou, Christina Can We Trust the Internet to Measure Psychotic Symptoms? |
title | Can We Trust the Internet to Measure Psychotic Symptoms? |
title_full | Can We Trust the Internet to Measure Psychotic Symptoms? |
title_fullStr | Can We Trust the Internet to Measure Psychotic Symptoms? |
title_full_unstemmed | Can We Trust the Internet to Measure Psychotic Symptoms? |
title_short | Can We Trust the Internet to Measure Psychotic Symptoms? |
title_sort | can we trust the internet to measure psychotic symptoms? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3725883/ https://www.ncbi.nlm.nih.gov/pubmed/23936652 http://dx.doi.org/10.1155/2013/457010 |
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