Current exploratory and confirmatory issues in data analysis in psychology

In 1968 John Tukey gave a speech at the American Psychological Association in San Francisco about the relevance of proper data analysis in Psychology (Tukey, 1969). His closing message was that “data analysis needs to be both exploratory and confirmatory” (p. 90). Exploratory data analysis (or EDA)...

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Autor principal:	Fernando Marmolejo-Ramos
Formato:	article
Lenguaje:	EN ES
Publicado:	Universidad de San Buenaventura 2010
Materias:	Psychology BF1-990
Acceso en línea:	https://doaj.org/article/e8126697e51941379989f89f90c60f86
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spelling	oai:doaj.org-article:e8126697e51941379989f89f90c60f862021-11-25T02:24:07ZCurrent exploratory and confirmatory issues in data analysis in psychology10.21500/20112084.8182011-20842011-7922https://doaj.org/article/e8126697e51941379989f89f90c60f862010-06-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/818https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922In 1968 John Tukey gave a speech at the American Psychological Association in San Francisco about the relevance of proper data analysis in Psychology (Tukey, 1969). His closing message was that “data analysis needs to be both exploratory and confirmatory” (p. 90). Exploratory data analysis (or EDA) is an approach to analysing data in order to formulate sound hypotheses, whereas confirmatory data analysis (CDA) is a method to test those hypotheses (a.k.a., statistical hypothesis testing). As Tukey announced in his speech, these two analytical tools have been, and are somewhat still, at odds. This special issue presents sixteen papers that cover relevant topics in EDA and CDA with the purpose of bringing together seemingly disparate issues.Fernando Marmolejo-RamosUniversidad de San BuenaventuraarticlePsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 1 (2010)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	Psychology BF1-990
spellingShingle	Psychology BF1-990 Fernando Marmolejo-Ramos Current exploratory and confirmatory issues in data analysis in psychology
description	In 1968 John Tukey gave a speech at the American Psychological Association in San Francisco about the relevance of proper data analysis in Psychology (Tukey, 1969). His closing message was that “data analysis needs to be both exploratory and confirmatory” (p. 90). Exploratory data analysis (or EDA) is an approach to analysing data in order to formulate sound hypotheses, whereas confirmatory data analysis (CDA) is a method to test those hypotheses (a.k.a., statistical hypothesis testing). As Tukey announced in his speech, these two analytical tools have been, and are somewhat still, at odds. This special issue presents sixteen papers that cover relevant topics in EDA and CDA with the purpose of bringing together seemingly disparate issues.
format	article
author	Fernando Marmolejo-Ramos
author_facet	Fernando Marmolejo-Ramos
author_sort	Fernando Marmolejo-Ramos
title	Current exploratory and confirmatory issues in data analysis in psychology
title_short	Current exploratory and confirmatory issues in data analysis in psychology
title_full	Current exploratory and confirmatory issues in data analysis in psychology
title_fullStr	Current exploratory and confirmatory issues in data analysis in psychology
title_full_unstemmed	Current exploratory and confirmatory issues in data analysis in psychology
title_sort	current exploratory and confirmatory issues in data analysis in psychology
publisher	Universidad de San Buenaventura
publishDate	2010
url	https://doaj.org/article/e8126697e51941379989f89f90c60f86
work_keys_str_mv	AT fernandomarmolejoramos currentexploratoryandconfirmatoryissuesindataanalysisinpsychology
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Current exploratory and confirmatory issues in data analysis in psychology

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