Current exploratory and confirmatory issues in data analysis in psychology

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2011-2084

2011-7922

3

2010-06-30

4

8

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International Journal of Psychological Research - 2010

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spelling Current exploratory and confirmatory issues in data analysis in psychology
Current exploratory and confirmatory issues in data analysis in psychology
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International Journal of Psychological Research - 2010
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https://revistas.usb.edu.co/index.php/IJPR/article/view/818
International Journal of Psychological Research
Journal article
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.
Marmolejo-Ramos, Fernando
3
1
Núm. 1 , Año 2010 : Special Issue of Statistics in Psychology
Publication
application/pdf
Universidad San Buenaventura - USB (Colombia)
2010-06-30T00:00:00Z
4
2011-2084
https://revistas.usb.edu.co/index.php/IJPR/article/download/818/594
2010-06-30T00:00:00Z
2010-06-30
https://doi.org/10.21500/20112084.818
10.21500/20112084.818
2011-7922
8
institution UNIVERSIDAD DE SAN BUENAVENTURA
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collection International Journal of Psychological Research
title Current exploratory and confirmatory issues in data analysis in psychology
spellingShingle Current exploratory and confirmatory issues in data analysis in psychology
Marmolejo-Ramos, Fernando
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
description_eng 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.
author Marmolejo-Ramos, Fernando
author_facet Marmolejo-Ramos, Fernando
citationvolume 3
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https://creativecommons.org/licenses/by-nc-sa/4.0/
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url https://revistas.usb.edu.co/index.php/IJPR/article/view/818
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