Crawford, John R. and Garthwaite, Paul
(2006).
*Neuropsychology*, 20(3) pp. 259–271.

DOI (Digital Object Identifier) Link: | http://dx.doi.org/10.1037/0894-4105.20.3.259 |
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Google Scholar: | Look up in Google Scholar |

## Abstract

In contrast to the standard use of regression, in which an individual's score on the dependent variable is unknown, neuropsychologists are often interested in comparing a predicted score with a known obtained score. Existing inferential methods use the standard error for a new case (SN+1) to provide confidence limits on a predicted score and hence are tailored to the standard usage. However, SN+1 can be used to test whether the discrepancy between a patient's predicted and obtained scores was drawn from the distribution of discrepancies in a control population. This method simultaneously provides a point estimate of the percentage of the control population that would exhibit a larger discrepancy. A method for obtaining confidence limits on this percentage is also developed. These methods can be used with existing regression equations and are particularly useful when the sample used to generate a regression equation is modest in size. Monte Carlo simulations confirm the validity of the methods, and computer programs that implement them are described and made available.

Item Type: | Journal Article |
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ISSN: | 0894-4105 |

Keywords: | Neuropsychological assessment; Regression equations; Single-case methods; Test scores; Prediction; Confidence limits; Statistical Analysis; Statistical Regression; |

Academic Unit/Department: | Mathematics, Computing and Technology > Mathematics and Statistics Mathematics, Computing and Technology |

Item ID: | 15997 |

Depositing User: | Users 8955 not found. |

Date Deposited: | 14 May 2009 09:43 |

Last Modified: | 15 Jan 2016 11:16 |

URI: | http://oro.open.ac.uk/id/eprint/15997 |

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