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In 1968 John Tukey grave 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 thet “data analysis needs to be both exploratory and confirmatory” (p. 90). Exploratory data analysis (or EDA) is an approach to analyzing data in order to formulate sound hypotheses, whereas confirmatory data alaysis (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 presets sixteen papers that cover relevant topics in EDA and CDA with the purpose of bringing together seemingly disparate issues.

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2011-05-09   |   752 visitas   |   Evalua este artículo 0 valoraciones

Vol. 3 Núm.1. Enero-Junio 2010 Pags. 4-8 Int Jou Psy Res 2010; 3(1)