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Why carve up your continuous data?
Owen, Steven V; Froman, Robin D.
Afiliación
  • Owen SV; Department of Pediatrics, School of Medicine, and Center for Epidemiology & Biostatistics, University of Texas Health Science Center at San Antonio, USA.
Res Nurs Health ; 28(6): 496-503, 2005 Dec.
Article en En | MEDLINE | ID: mdl-16287057
Continuous data are commonplace in social, biophysical, and health research. For various reasons, researchers often carve up data into ordered chunks. Such data carving results in less information being carried by the data, a reduction or spurious increase in statistical power, and resultant Type I or Type II errors. We give examples of data carving in selected nursing literature, and illustrate how unnecessary categorization can produce erroneous statistical results. Finally, we propose credible alternatives to data carving.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación en Enfermería Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Res Nurs Health Año: 2005 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Investigación en Enfermería Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Res Nurs Health Año: 2005 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos