Function test2norm() generates formulas for normative standards applied to cognitive tests. It takes raw test scores (e.g., number of correct responses) and converts them to scaled scores and demographically adjusted scores, using methods described in Heaton et al. (2003) <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009, ISBN:9780199702800). The scaled scores are calculated as quantiles of the raw test scores, scaled to have the mean of 10 and standard deviation of 3, such that higher values always correspond to better performance on the test. The demographically adjusted scores are calculated from the residuals of a model that regresses scaled scores on demographic predictors (e.g., age). The norming procedure makes use of the mfp() function from the 'mfp' package to explore nonlinear associations between cognition and demographic variables.

Version: | 0.1.1 |

Depends: | R (≥ 2.10) |

Imports: | mfp |

Published: | 2019-10-16 |

Author: | Anya Umlauf |

Maintainer: | Anya Umlauf <aumlauf at ucsd.edu> |

License: | |

NeedsCompilation: | no |

CRAN checks: | test2norm results |

Reference manual: | test2norm.pdf |

Package source: | test2norm_0.1.1.tar.gz |

Windows binaries: | r-devel: test2norm_0.1.1.zip, r-release: test2norm_0.1.1.zip, r-oldrel: test2norm_0.1.1.zip |

macOS binaries: | r-release (arm64): test2norm_0.1.1.tgz, r-release (x86_64): test2norm_0.1.1.tgz, r-oldrel: test2norm_0.1.1.tgz |

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