SAGE Reference - Encyclopedia of Research Design

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Missing Data, Imputation of

In: Encyclopedia of Research Design
Edited by: Neil J. Salkind
Subject:Research Design
Keywords:missing data

Imputation involves replacing missing values, or missings, with an estimated value. In a sense, imputation is a prediction solution. It is one of three options for handling missing data. The general principle is to delete when the data are expendable, impute ...

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  Salkind, N. J. (2010). Missing data, imputation of. In Encyclopedia of research design (Vol. 1, pp. 805-807). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412961288.n243
  
  Salkind, Neil J. "Missing Data, Imputation of." In Encyclopedia of Research Design, edited by Salkind, Neil J., 805-7. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412961288.n243.
  
  Salkind, N. J. 2010. Missing Data, Imputation of. In: Neil J. Salkind Editor, 2010. Encyclopedia of Research Design, Thousand Oaks, CA: SAGE Publications, Inc. pp. 805-807 Available at: <https://dx.doi.org/10.4135/9781412961288.n243> [Accessed 28 May 2022].
  
  Salkind, Neil J. "Missing Data, Imputation of." Encyclopedia of Research Design. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 805-7. SAGE Knowledge. 28 May 2022, doi: https://dx.doi.org/10.4135/9781412961288.n243.
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