@article{PfisterFoerster2022,
  author    = {Pfister, Roland and Foerster, Anna},
  title     = {How to measure post-error slowing: The case of pre-error speeding},
  series = {Behavior Research Methods},
  volume    = {54},
  journal   = {Behavior Research Methods},
  number    = {1},
  issn      = {1554-3528},
  doi       = {10.3758/s13428-021-01631-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-273244},
  pages     = {435-443},
  year      = {2022},
  abstract  = {Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing.},
  language  = {en}
}