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When minutes matter: A university emergency notification system dataset
The data presented in this data article were collected at three points in the 2012–2013 academic year; Fall 2012, Spring 2013, and Summer 2013 from undergraduate students enrolled in an introductory health education course at a large university in the United States. The data regarding undergraduate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010384/ https://www.ncbi.nlm.nih.gov/pubmed/33816727 http://dx.doi.org/10.1016/j.dib.2021.106910 |
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author | Menn, Mindy Payne-Purvis, Caroline Chaney, Beth H. Chaney, J. Don |
author_facet | Menn, Mindy Payne-Purvis, Caroline Chaney, Beth H. Chaney, J. Don |
author_sort | Menn, Mindy |
collection | PubMed |
description | The data presented in this data article were collected at three points in the 2012–2013 academic year; Fall 2012, Spring 2013, and Summer 2013 from undergraduate students enrolled in an introductory health education course at a large university in the United States. The data regarding undergraduate students’ perceptions of and experiences with the campus emergency notification system were ascertained using a self-administered online-delivered survey instrument. The data included in the Mendeley Data repository affiliated with this data article encompass closed- and open-ended responses from 746 undergraduate students. Closed-ended questions included items based on central constructs from Technology Acceptance Model research–perceived usefulness, perceived ease of use, attitudes toward use, and behavioral intention. Survey questions also assessed students’ actual use of emergency notification messages, students’ perceived self-efficacy to respond to future potential emergency notifications, and demographics and technology use characteristics. This research team asked open-ended questions to collect students’ ideas for systematic improvement in their own words. Descriptive statistics for demographic variables, participant characteristic variables, and scale variables were conducted in SPSS 27 and are provided in tables. The open-ended question response frequencies were also calculated in SPSS 27 and are provided within a supplemental PDF. To date, no data pertaining to an institution of higher education's emergency notification system are published for open access use. This article provides open access data and surveys that campus emergency planners, researchers, and health education specialists can use to inform emergency communication plans, improve the content of critical campus alert messages, structure future emergency notification studies, and frame future emergency notification system evaluations. This research team anticipates these data will help campus emergency personnel craft more effective messages and optimize their channel mixture to make emergency notifications reach and resonate with students in situations when minutes matter. The data for this article are hosted in a .csv file for widespread access in the following Mendeley Data repository: https://data.mendeley.com/datasets/6jdwfbwzk5/1 |
format | Online Article Text |
id | pubmed-8010384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80103842021-04-02 When minutes matter: A university emergency notification system dataset Menn, Mindy Payne-Purvis, Caroline Chaney, Beth H. Chaney, J. Don Data Brief Data Article The data presented in this data article were collected at three points in the 2012–2013 academic year; Fall 2012, Spring 2013, and Summer 2013 from undergraduate students enrolled in an introductory health education course at a large university in the United States. The data regarding undergraduate students’ perceptions of and experiences with the campus emergency notification system were ascertained using a self-administered online-delivered survey instrument. The data included in the Mendeley Data repository affiliated with this data article encompass closed- and open-ended responses from 746 undergraduate students. Closed-ended questions included items based on central constructs from Technology Acceptance Model research–perceived usefulness, perceived ease of use, attitudes toward use, and behavioral intention. Survey questions also assessed students’ actual use of emergency notification messages, students’ perceived self-efficacy to respond to future potential emergency notifications, and demographics and technology use characteristics. This research team asked open-ended questions to collect students’ ideas for systematic improvement in their own words. Descriptive statistics for demographic variables, participant characteristic variables, and scale variables were conducted in SPSS 27 and are provided in tables. The open-ended question response frequencies were also calculated in SPSS 27 and are provided within a supplemental PDF. To date, no data pertaining to an institution of higher education's emergency notification system are published for open access use. This article provides open access data and surveys that campus emergency planners, researchers, and health education specialists can use to inform emergency communication plans, improve the content of critical campus alert messages, structure future emergency notification studies, and frame future emergency notification system evaluations. This research team anticipates these data will help campus emergency personnel craft more effective messages and optimize their channel mixture to make emergency notifications reach and resonate with students in situations when minutes matter. The data for this article are hosted in a .csv file for widespread access in the following Mendeley Data repository: https://data.mendeley.com/datasets/6jdwfbwzk5/1 Elsevier 2021-02-26 /pmc/articles/PMC8010384/ /pubmed/33816727 http://dx.doi.org/10.1016/j.dib.2021.106910 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Menn, Mindy Payne-Purvis, Caroline Chaney, Beth H. Chaney, J. Don When minutes matter: A university emergency notification system dataset |
title | When minutes matter: A university emergency notification system dataset |
title_full | When minutes matter: A university emergency notification system dataset |
title_fullStr | When minutes matter: A university emergency notification system dataset |
title_full_unstemmed | When minutes matter: A university emergency notification system dataset |
title_short | When minutes matter: A university emergency notification system dataset |
title_sort | when minutes matter: a university emergency notification system dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010384/ https://www.ncbi.nlm.nih.gov/pubmed/33816727 http://dx.doi.org/10.1016/j.dib.2021.106910 |
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