Functions for traditional and multilevel approaches to signal detection theory

Behav Res Methods. 2009 May;41(2):257-67. doi: 10.3758/BRM.41.2.257.

Abstract

In the present article, functions written in the freeware R are presented that calculate several measures from traditional signal detection theory for each individual in a sample, along with summary statistics for the sample. Bias-corrected and accelerated bootstrap confidence intervals are also produced. Arguments are made for using an alternative approach--multilevel generalized linear models--and a function is presented for it. These functions are part of the R package sdtalt, which is available on the Comprehensive R Archive Network. Recent data from memory recognition studies are used to illustrate these functions.

MeSH terms

  • Algorithms
  • Data Interpretation, Statistical
  • Humans
  • Signal Detection, Psychological*
  • Software