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R Package reported in Silbert & Hawkins (2016) "A tutorial on general recognition theory"

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mdsdt

Available on CRAN.

An R package for multi-dimensional signal detection theory, also known as GRT -- General Recognition Theory.

We implement the recommendations from Silbert & Thomas (2013), providing up-to-date statistical methods to conduct GRT analyses. Following the result that failures of decisional and perceptual separability are generically confounded, we assume decisional separability and focus on testing perceptual separability and independence, providing the following options:

  1. Full Gaussian model fitting with visualization and model comparison tools
  2. Tests of marginal response invariance (MRI) to detect failures of perceptual separability .
  3. Tests of report independence (RI) to detect failures of perceptual independence.

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R Package reported in Silbert & Hawkins (2016) "A tutorial on general recognition theory"

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