Cargando…
A new technique to measure online bullying: online computerized adaptive testing
BACKGROUND: Workplace bullying has been measured in many studies to investigate mental health issues. None uses online computerized adaptive testing (CAT) with cutting points to report bully prevalence at workplace. OBJECTIVE: To develop an online CAT to examine person being bullied and verify wheth...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496324/ https://www.ncbi.nlm.nih.gov/pubmed/28680455 http://dx.doi.org/10.1186/s12991-017-0149-z |
_version_ | 1783247953854464000 |
---|---|
author | Ma, Shu-Ching Wang, Hsiu-Hung Chien, Tsair-Wei |
author_facet | Ma, Shu-Ching Wang, Hsiu-Hung Chien, Tsair-Wei |
author_sort | Ma, Shu-Ching |
collection | PubMed |
description | BACKGROUND: Workplace bullying has been measured in many studies to investigate mental health issues. None uses online computerized adaptive testing (CAT) with cutting points to report bully prevalence at workplace. OBJECTIVE: To develop an online CAT to examine person being bullied and verify whether item response theory-based CAT can be applied online for nurses to measure exposure to workplace bullying. METHODS: A total of 963 nurses were recruited and responded to the 22-item Negative Acts Questionnaire-Revised (NAQ-R). All non-adaptive testing (NAT) items were calibrated with the Rasch rating scale model. Three scenarios (i.e., NAT, CAT, and the randomly selected method to NAT) were manipulated to compare their response efficiency and precision by comparing (i) item length for answering questions, person measure, (ii) correlation coefficients, (iii) paired t tests, and (iv) estimated standard errors (SE) between CAT and the random to its counterpart of NAT. RESULTS: The NAQ-R is a unidimensional construct that can be applied for nurses to measure exposure to workplace bullying on CAT. CAT required fewer items (=8.9) than NAT (=22, an efficient gain of 60% =1–8.9/22). Nursing measures derived from both tests (CAT and the random to NAT) were highly correlated (r = 0.93 and 0.96) and their measurement precisions were not statistically different (the percentage of significant count number less than 5%) as expected, but CAT earns smaller person measure SE than the random scenario. The prevalence rate for nurses was 1.5% (=15/963) when cutting points set at −0.7 and 0.7 logits. CONCLUSION: The CAT-based NAQ-R reduces respondents’ burden without compromising measurement precision and increases endorsement efficiency. The online CAT is recommended for assessing nurses using the criteria at −0.7 and 0.7 (or <30 and <60 in summed score) to identify bully grade as one of the three levels (high, moderate, and low). The bullied nurse can get help from a psychiatrist or a mental health expert at an earlier stage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12991-017-0149-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5496324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54963242017-07-05 A new technique to measure online bullying: online computerized adaptive testing Ma, Shu-Ching Wang, Hsiu-Hung Chien, Tsair-Wei Ann Gen Psychiatry Primary Research BACKGROUND: Workplace bullying has been measured in many studies to investigate mental health issues. None uses online computerized adaptive testing (CAT) with cutting points to report bully prevalence at workplace. OBJECTIVE: To develop an online CAT to examine person being bullied and verify whether item response theory-based CAT can be applied online for nurses to measure exposure to workplace bullying. METHODS: A total of 963 nurses were recruited and responded to the 22-item Negative Acts Questionnaire-Revised (NAQ-R). All non-adaptive testing (NAT) items were calibrated with the Rasch rating scale model. Three scenarios (i.e., NAT, CAT, and the randomly selected method to NAT) were manipulated to compare their response efficiency and precision by comparing (i) item length for answering questions, person measure, (ii) correlation coefficients, (iii) paired t tests, and (iv) estimated standard errors (SE) between CAT and the random to its counterpart of NAT. RESULTS: The NAQ-R is a unidimensional construct that can be applied for nurses to measure exposure to workplace bullying on CAT. CAT required fewer items (=8.9) than NAT (=22, an efficient gain of 60% =1–8.9/22). Nursing measures derived from both tests (CAT and the random to NAT) were highly correlated (r = 0.93 and 0.96) and their measurement precisions were not statistically different (the percentage of significant count number less than 5%) as expected, but CAT earns smaller person measure SE than the random scenario. The prevalence rate for nurses was 1.5% (=15/963) when cutting points set at −0.7 and 0.7 logits. CONCLUSION: The CAT-based NAQ-R reduces respondents’ burden without compromising measurement precision and increases endorsement efficiency. The online CAT is recommended for assessing nurses using the criteria at −0.7 and 0.7 (or <30 and <60 in summed score) to identify bully grade as one of the three levels (high, moderate, and low). The bullied nurse can get help from a psychiatrist or a mental health expert at an earlier stage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12991-017-0149-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-03 /pmc/articles/PMC5496324/ /pubmed/28680455 http://dx.doi.org/10.1186/s12991-017-0149-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Primary Research Ma, Shu-Ching Wang, Hsiu-Hung Chien, Tsair-Wei A new technique to measure online bullying: online computerized adaptive testing |
title | A new technique to measure online bullying: online computerized adaptive testing |
title_full | A new technique to measure online bullying: online computerized adaptive testing |
title_fullStr | A new technique to measure online bullying: online computerized adaptive testing |
title_full_unstemmed | A new technique to measure online bullying: online computerized adaptive testing |
title_short | A new technique to measure online bullying: online computerized adaptive testing |
title_sort | new technique to measure online bullying: online computerized adaptive testing |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496324/ https://www.ncbi.nlm.nih.gov/pubmed/28680455 http://dx.doi.org/10.1186/s12991-017-0149-z |
work_keys_str_mv | AT mashuching anewtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting AT wanghsiuhung anewtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting AT chientsairwei anewtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting AT mashuching newtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting AT wanghsiuhung newtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting AT chientsairwei newtechniquetomeasureonlinebullyingonlinecomputerizedadaptivetesting |