Confidence Intervals from Normalized Data: A correction to Cousineau (2005)

By Richard D. Morey. 2008

1,983 citations recorded by the source corpus.

Presenting confidence intervals around means is a common method of expressing uncertainty in data. Loftus and Masson (1994) describe confidence intervals for means in within‐subjects designs. These confidence intervals are based on the ANOVA mean squared error. Cousineau (2005) presents an alternative to the Loftus and Masson method, but his method produces confidence intervals that are smaller than those of Loftus and Masson. I show why this is the case and offer a simple correction that makes the expected size of Cousineau confidence intervals the same as that of Loftus and Masson confidence intervals.

Subfields: Artificial Intelligence, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Quoc V. Le
  2. Simon Kornblith
  3. Jonathon Shlens
  4. Mohit Bansal
  5. Yoshua Bengio
  6. Jianfeng Gao
  7. Jiashi Feng
  8. Percy Liang

In Statistics and Probability

  1. F. Marmolejo‐Ramos
  2. Charles Spence
  3. Jonathon Shlens
  4. Stephan Lewandowsky
  5. Quoc V. Le
  6. Ullrich K. H. Ecker
  7. Tian Siva Tian
  8. Simon Kornblith

Citations in the corpus