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)...
- Autores:
-
Marmolejo-Ramos, Fernando
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2010
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/25697
- Acceso en línea:
- https://hdl.handle.net/10819/25697
https://doi.org/10.21500/20112084.818
- Palabra clave:
- Rights
- openAccess
- License
- International Journal of Psychological Research - 2010
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Marmolejo-Ramos, Fernando2010-06-30T00:00:00Z2025-07-31T16:11:17Z2010-06-30T00:00:00Z2025-07-31T16:11:17Z2010-06-30In 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.application/pdf10.21500/20112084.8182011-79222011-2084https://hdl.handle.net/10819/25697https://doi.org/10.21500/20112084.818engUniversidad San Buenaventura - USB (Colombia)https://revistas.usb.edu.co/index.php/IJPR/article/download/818/594Núm. 1 , Año 2010 : Special Issue of Statistics in Psychology8143International Journal of Psychological ResearchInternational Journal of Psychological Research - 2010info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistas.usb.edu.co/index.php/IJPR/article/view/818Current exploratory and confirmatory issues in data analysis in psychologyCurrent exploratory and confirmatory issues in data analysis in psychologyArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2521https://bibliotecadigital.usb.edu.co/bitstreams/73598483-69e2-4655-9955-a504e6844900/download89c64c709d7ddf74c11ba293b1c7477fMD5110819/25697oai:bibliotecadigital.usb.edu.co:10819/256972025-07-31 11:11:17.999https://creativecommons.org/licenses/by-nc-sa/4.0/https://bibliotecadigital.usb.edu.coRepositorio Institucional Universidad de San Buenaventura Colombiabdigital@metabiblioteca.com |
| dc.title.spa.fl_str_mv |
Current exploratory and confirmatory issues in data analysis in psychology |
| dc.title.translated.spa.fl_str_mv |
Current exploratory and confirmatory issues in data analysis in psychology |
| title |
Current exploratory and confirmatory issues in data analysis in psychology |
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Current exploratory and confirmatory issues in data analysis in psychology |
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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 |
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Marmolejo-Ramos, Fernando |
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Marmolejo-Ramos, Fernando |
| 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. |
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2010 |
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2010-06-30T00:00:00Z 2025-07-31T16:11:17Z |
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2010-06-30T00:00:00Z 2025-07-31T16:11:17Z |
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2010-06-30 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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10.21500/20112084.818 |
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2011-7922 |
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2011-2084 |
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https://hdl.handle.net/10819/25697 |
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https://doi.org/10.21500/20112084.818 |
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eng |
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https://revistas.usb.edu.co/index.php/IJPR/article/download/818/594 |
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Núm. 1 , Año 2010 : Special Issue of Statistics in Psychology |
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8 |
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International Journal of Psychological Research |
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International Journal of Psychological Research - 2010 |
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info:eu-repo/semantics/openAccess |
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Universidad San Buenaventura - USB (Colombia) |
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https://revistas.usb.edu.co/index.php/IJPR/article/view/818 |
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