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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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Autor principal: Andrade, Chittaranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
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
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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.
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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
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