Crawford, John R. and Garthwaite, Paul H.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/09297040801894709|
|Google Scholar:||Look up in Google Scholar|
Bridges and Holler (2007) have provided a useful reminder that normative data are fallible. Unfortunately, however, their paper misleads neuropsychologists as to the nature and extent of the problem. We show that the uncertainty attached to the estimated z score and percentile rank of a given raw score is much larger than they report and that it varies as a function of the extremity of the raw score. Methods for quantifying the uncertainty associated with normative data are described and used to illustrate the issues involved. A computer program is provided that, on entry of a normative sample mean, standard deviation, and sample size, provides point and interval estimates of percentiles and z scores for raw scores referred to these normative data. The methods and program provide neuropsychologists with a means of evaluating the adequacy of existing norms and will be useful for those planning normative studies.
|Item Type:||Journal Article|
|Copyright Holders:||2008 Psychology Press|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sara Griffin|
|Date Deposited:||21 Sep 2009 12:51|
|Last Modified:||04 Oct 2016 10:27|
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