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Understanding Statistical Noise in Research: 1. Basic Concepts
The signal is the outcome of interest in a study; it may be the value of a variable or it may be the value of a relationship between variables. Signals in research are distorted by statistical noise. This statistical noise is generated by extraneous variables that may be adequately measured, inadequ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896112/ https://www.ncbi.nlm.nih.gov/pubmed/36778609 http://dx.doi.org/10.1177/02537176221139665 |
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author | Andrade, Chittaranjan |
author_facet | Andrade, Chittaranjan |
author_sort | Andrade, Chittaranjan |
collection | PubMed |
description | The signal is the outcome of interest in a study; it may be the value of a variable or it may be the value of a relationship between variables. Signals in research are distorted by statistical noise. This statistical noise is generated by extraneous variables that may be adequately measured, inadequately measured, unmeasured, or unknown; the subject-to-subject variation in the signal resulting from the effects of these extraneous variables is captured by the standard deviation. Thus, the standard deviation is a measure of statistical noise. This article, the first in a series, explains all of these concepts with the help of examples. |
format | Online Article Text |
id | pubmed-9896112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-98961122023-02-09 Understanding Statistical Noise in Research: 1. Basic Concepts Andrade, Chittaranjan Indian J Psychol Med Learning Curve The signal is the outcome of interest in a study; it may be the value of a variable or it may be the value of a relationship between variables. Signals in research are distorted by statistical noise. This statistical noise is generated by extraneous variables that may be adequately measured, inadequately measured, unmeasured, or unknown; the subject-to-subject variation in the signal resulting from the effects of these extraneous variables is captured by the standard deviation. Thus, the standard deviation is a measure of statistical noise. This article, the first in a series, explains all of these concepts with the help of examples. SAGE Publications 2022-11-22 2023-01 /pmc/articles/PMC9896112/ /pubmed/36778609 http://dx.doi.org/10.1177/02537176221139665 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Learning Curve Andrade, Chittaranjan Understanding Statistical Noise in Research: 1. Basic Concepts |
title | Understanding Statistical Noise in Research: 1. Basic
Concepts |
title_full | Understanding Statistical Noise in Research: 1. Basic
Concepts |
title_fullStr | Understanding Statistical Noise in Research: 1. Basic
Concepts |
title_full_unstemmed | Understanding Statistical Noise in Research: 1. Basic
Concepts |
title_short | Understanding Statistical Noise in Research: 1. Basic
Concepts |
title_sort | understanding statistical noise in research: 1. basic
concepts |
topic | Learning Curve |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896112/ https://www.ncbi.nlm.nih.gov/pubmed/36778609 http://dx.doi.org/10.1177/02537176221139665 |
work_keys_str_mv | AT andradechittaranjan understandingstatisticalnoiseinresearch1basicconcepts |