Models of accuracy in repeated-measures designs

  title={Models of accuracy in repeated-measures designs},
  author={Peter Dixon},
Accuracy is often analyzed using analysis of variance techniques in which the data are assumed to be normally distributed. However, accuracy data are discrete rather than continuous, and proportion correct are constrained to the range 0–1. Monte Carlo simulations are presented illustrating how this can lead to distortions in the pattern of means. An alternative is to analyze accuracy using logistic regression. In this technique, the log odds (or logit) of proportion correct is modeled as a… CONTINUE READING


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