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Do Our Means of Inquiry Match our Intentions?

A key stage of the scientific method is the analysis of data, yet despite the variety of methods that are available to researchers they are most frequently distilled to a model that focuses on the average relation between variables. Although research questions are frequently conceived with broad inq...

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Autor principal: Petscher, Yaacov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949213/
https://www.ncbi.nlm.nih.gov/pubmed/27486410
http://dx.doi.org/10.3389/fpsyg.2016.01048
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author Petscher, Yaacov
author_facet Petscher, Yaacov
author_sort Petscher, Yaacov
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description A key stage of the scientific method is the analysis of data, yet despite the variety of methods that are available to researchers they are most frequently distilled to a model that focuses on the average relation between variables. Although research questions are frequently conceived with broad inquiry in mind, most regression methods are limited in comprehensively evaluating how observed behaviors are related to each other. Quantile regression is a largely unknown yet well-suited analytic technique similar to traditional regression analysis, but allows for a more systematic approach to understanding complex associations among observed phenomena in the psychological sciences. Data from the National Education Longitudinal Study of 1988/2000 are used to illustrate how quantile regression overcomes the limitations of average associations in linear regression by showing that psychological well-being and sex each differentially relate to reading achievement depending on one’s level of reading achievement.
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spelling pubmed-49492132016-08-02 Do Our Means of Inquiry Match our Intentions? Petscher, Yaacov Front Psychol Psychology A key stage of the scientific method is the analysis of data, yet despite the variety of methods that are available to researchers they are most frequently distilled to a model that focuses on the average relation between variables. Although research questions are frequently conceived with broad inquiry in mind, most regression methods are limited in comprehensively evaluating how observed behaviors are related to each other. Quantile regression is a largely unknown yet well-suited analytic technique similar to traditional regression analysis, but allows for a more systematic approach to understanding complex associations among observed phenomena in the psychological sciences. Data from the National Education Longitudinal Study of 1988/2000 are used to illustrate how quantile regression overcomes the limitations of average associations in linear regression by showing that psychological well-being and sex each differentially relate to reading achievement depending on one’s level of reading achievement. Frontiers Media S.A. 2016-07-19 /pmc/articles/PMC4949213/ /pubmed/27486410 http://dx.doi.org/10.3389/fpsyg.2016.01048 Text en Copyright © 2016 Petscher. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Petscher, Yaacov
Do Our Means of Inquiry Match our Intentions?
title Do Our Means of Inquiry Match our Intentions?
title_full Do Our Means of Inquiry Match our Intentions?
title_fullStr Do Our Means of Inquiry Match our Intentions?
title_full_unstemmed Do Our Means of Inquiry Match our Intentions?
title_short Do Our Means of Inquiry Match our Intentions?
title_sort do our means of inquiry match our intentions?
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949213/
https://www.ncbi.nlm.nih.gov/pubmed/27486410
http://dx.doi.org/10.3389/fpsyg.2016.01048
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