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Comparing experimental conditions using modern statistics
While the applied psychology community relies on statistics to assist drawing conclusions from quantitative data, the methods being used mostly today do not reflect several of the advances in statistics that have been realized over the past decades. We show in this paper how a number of issues with...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219588/ https://www.ncbi.nlm.nih.gov/pubmed/33037601 http://dx.doi.org/10.3758/s13428-020-01471-8 |
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author | Martens, Jean-Bernard |
author_facet | Martens, Jean-Bernard |
author_sort | Martens, Jean-Bernard |
collection | PubMed |
description | While the applied psychology community relies on statistics to assist drawing conclusions from quantitative data, the methods being used mostly today do not reflect several of the advances in statistics that have been realized over the past decades. We show in this paper how a number of issues with how statistical analyses are presently executed and reported in the literature can be addressed by applying more modern methods. Unfortunately, such new methods are not always supported by widely available statistical packages, such as SPSS, which is why we also introduce a new software platform, called ILLMO (for Interactive Log-Likelihood MOdeling), which offers an intuitive interface to such modern statistical methods. In order to limit the complexity of the material being covered in this paper, we focus the discussion on a fairly simple, but nevertheless very frequent and important statistical task, i.e., comparing two experimental conditions. |
format | Online Article Text |
id | pubmed-8219588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82195882021-06-28 Comparing experimental conditions using modern statistics Martens, Jean-Bernard Behav Res Methods Article While the applied psychology community relies on statistics to assist drawing conclusions from quantitative data, the methods being used mostly today do not reflect several of the advances in statistics that have been realized over the past decades. We show in this paper how a number of issues with how statistical analyses are presently executed and reported in the literature can be addressed by applying more modern methods. Unfortunately, such new methods are not always supported by widely available statistical packages, such as SPSS, which is why we also introduce a new software platform, called ILLMO (for Interactive Log-Likelihood MOdeling), which offers an intuitive interface to such modern statistical methods. In order to limit the complexity of the material being covered in this paper, we focus the discussion on a fairly simple, but nevertheless very frequent and important statistical task, i.e., comparing two experimental conditions. Springer US 2020-10-09 2021 /pmc/articles/PMC8219588/ /pubmed/33037601 http://dx.doi.org/10.3758/s13428-020-01471-8 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Martens, Jean-Bernard Comparing experimental conditions using modern statistics |
title | Comparing experimental conditions using modern statistics |
title_full | Comparing experimental conditions using modern statistics |
title_fullStr | Comparing experimental conditions using modern statistics |
title_full_unstemmed | Comparing experimental conditions using modern statistics |
title_short | Comparing experimental conditions using modern statistics |
title_sort | comparing experimental conditions using modern statistics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219588/ https://www.ncbi.nlm.nih.gov/pubmed/33037601 http://dx.doi.org/10.3758/s13428-020-01471-8 |
work_keys_str_mv | AT martensjeanbernard comparingexperimentalconditionsusingmodernstatistics |