Why carve up your continuous data?
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