SAGE Reference - Encyclopedia of Research Design

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Shrinkage

In: Encyclopedia of Research Design
Edited by: Neil J. Salkind
Subject:Research Design
Keywords:correlation; population; population parameters

Shrinkage reflects the bias found between sample statistics and inferred population parameters. Multiple regression generally overestimates population values from sample multiple correlation coefficients (R) and coefficients of ...

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  Salkind, N. J. (2010). Shrinkage. In Encyclopedia of research design (Vol. 1, pp. 1359-1361). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412961288.n416
  
  Salkind, Neil J. "Shrinkage." In Encyclopedia of Research Design, edited by Salkind, Neil J., 1359-61. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412961288.n416.
  
  Salkind, N. J. 2010. Shrinkage. In: Neil J. Salkind Editor, 2010. Encyclopedia of Research Design, Thousand Oaks, CA: SAGE Publications, Inc. pp. 1359-1361 Available at: <https://dx.doi.org/10.4135/9781412961288.n416> [Accessed 26 May 2022].
  
  Salkind, Neil J. "Shrinkage." Encyclopedia of Research Design. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 1359-61. SAGE Knowledge. 26 May 2022, doi: https://dx.doi.org/10.4135/9781412961288.n416.
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