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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...

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Detalles Bibliográficos
Autores principales: Haerling (Adamson), Katie, Prion, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. 2020
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
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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.
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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
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