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preprint · 2017

Reliability

William Revelle, David Condon

Cited by 1Open access

Abstract

Separating the signal in a test from the irrelevant noise is a challenge for all measurement. Low test reliability limits test validity, attenuates important relationships, and can lead to regression artifacts. Multiple approaches to the assessment and improvement of reliability are discussed. The advantages and disadvantages of several different approaches to reliability are considered. Practical advice on how to assess reliability using open source software is provided.

Cite this paper

APA 7

Revelle, W., & Condon, D. (2017). Reliability. https://doi.org/10.31234/osf.io/jgwm4

MLA 9

Revelle, William, and David Condon. “Reliability.” 2017, https://doi.org/10.31234/osf.io/jgwm4.

Chicago

Revelle, William, and David Condon. 2017. “Reliability.” https://doi.org/10.31234/osf.io/jgwm4.

Harvard

Revelle, W. and Condon, D. (2017) ‘Reliability’. Available at: https://doi.org/10.31234/osf.io/jgwm4.

BibTeX
@misc{revelle2017reliability,
  title = {{Reliability}},
  author = {Revelle, William and Condon, David},
  year = {2017},
  doi = {10.31234/osf.io/jgwm4}
}

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