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Missing Data in Nursing Research: Review of Issues and Treatment Strategies

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Missing data are common and exist as a part of nursing research. They are related mainly to methodological and administrative issues, or to various respondent related factors. Impacts of missing data include reducing the sample size and lowering the power of any tests administered. While missing data are inevitable, they cannot be ignored. Therefore, this article examines the mechanisms of missing data, the consequences for statistical analyses and results, and missing data treatment techniques.

Datos incompletos es un problema común que existe en la investigación de enfermería y, en particular, cuando se intenta medir fenómenos relacionados a la enfermería. Los datos incompletos están relacionados principalmente a los asuntos metodológicos y administrativos, o a varios factores relacionados a quienes responden. Los efectos de datos incompletos incluyen la reducción en el tamaño de la muestra, hecho que disminuye cuan conclusiva es la prueba realizada. Si bien el problema de los datos incompletos es inevitable, no es algo que puede ser ignorado. Este trabajo tiene como objetivo examinar los mecanismos de datos incompletos y su impacto en los resultados estadlsticos, además de analizar las técnicas actuales que se utilizan para tratar este problema. También, se discuten asuntos claves y estrategias para trabajar con datos incompletos.
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Document Type: Journal Article

Affiliations: University of Maryland

Publication date: January 1, 2003

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