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Two-by-Two Factorial Design
• In simulation research, we are often interested in comparing the effects of more than one independent variable. • Factorial designs allow investigators to efficiently compare multiple independent variables (also known as factors). • An example and resources are described for using a two by two fac...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529390/ https://www.ncbi.nlm.nih.gov/pubmed/33024457 http://dx.doi.org/10.1016/j.ecns.2020.06.004 |
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author | Haerling (Adamson), Katie Prion, Susan |
author_facet | Haerling (Adamson), Katie Prion, Susan |
author_sort | Haerling (Adamson), Katie |
collection | PubMed |
description | • In simulation research, we are often interested in comparing the effects of more than one independent variable. • Factorial designs allow investigators to efficiently compare multiple independent variables (also known as factors). • An example and resources are described for using a two by two factorial design in simulation research. |
format | Online Article Text |
id | pubmed-7529390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75293902020-10-02 Two-by-Two Factorial Design Haerling (Adamson), Katie Prion, Susan Clin Simul Nurs Department • In simulation research, we are often interested in comparing the effects of more than one independent variable. • Factorial designs allow investigators to efficiently compare multiple independent variables (also known as factors). • An example and resources are described for using a two by two factorial design in simulation research. International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. 2020-12 2020-08-06 /pmc/articles/PMC7529390/ /pubmed/33024457 http://dx.doi.org/10.1016/j.ecns.2020.06.004 Text en © 2020 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Department Haerling (Adamson), Katie Prion, Susan Two-by-Two Factorial Design |
title | Two-by-Two Factorial Design |
title_full | Two-by-Two Factorial Design |
title_fullStr | Two-by-Two Factorial Design |
title_full_unstemmed | Two-by-Two Factorial Design |
title_short | Two-by-Two Factorial Design |
title_sort | two-by-two factorial design |
topic | Department |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529390/ https://www.ncbi.nlm.nih.gov/pubmed/33024457 http://dx.doi.org/10.1016/j.ecns.2020.06.004 |
work_keys_str_mv | AT haerlingadamsonkatie twobytwofactorialdesign AT prionsusan twobytwofactorialdesign |