Literature DB >> 19322734

On percentile norms in neuropsychology: proposed reporting standards and methods for quantifying the uncertainty over the percentile ranks of test scores.

John R Crawford1, Paul H Garthwaite, Daniel J Slick.   

Abstract

Normative data for neuropsychological tests are often presented in the form of percentiles. One problem when using percentile norms stems from uncertainty over the definitional formula for a percentile. (There are three co-existing definitions and these can produce substantially different results.) A second uncertainty stems from the use of a normative sample to estimate the standing of a raw score in the normative population. This uncertainty is unavoidable but its extent can be captured using methods developed in the present paper. A set of reporting standards for the presentation of percentile norms in neuropsychology is proposed. An accompanying computer program (available to download) implements these standards and generates tables of point and interval estimates of percentile ranks for new or existing normative data.

Mesh:

Year:  2009        PMID: 19322734     DOI: 10.1080/13854040902795018

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  12 in total

1.  Normative data of a brief neuropsychological battery for Spanish individuals older than 49.

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2.  Standard Errors and Confidence Intervals of Norm Statistics for Educational and Psychological Tests.

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Journal:  Psychometrika       Date:  2016-11-14       Impact factor: 2.500

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Journal:  J Abnorm Child Psychol       Date:  2013-07

4.  A comparison of three methods of assessing differential item functioning (DIF) in the Hospital Anxiety Depression Scale: ordinal logistic regression, Rasch analysis and the Mantel chi-square procedure.

Authors:  Isobel M Cameron; Neil W Scott; Mats Adler; Ian C Reid
Journal:  Qual Life Res       Date:  2014-05-22       Impact factor: 4.147

5.  National Norms for the Vanderbilt ADHD Diagnostic Parent Rating Scale in Children.

Authors:  Nathan P Anderson; Jamie A Feldman; David J Kolko; Paul A Pilkonis; Oliver Lindhiem
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6.  Point and interval estimates of percentile ranks for scores on the Texas Functional Living Scale.

Authors:  John R Crawford; C Munro Cullum; Paul H Garthwaite; Emma Lycett; Kate J Allsopp
Journal:  Clin Neuropsychol       Date:  2012-09-17       Impact factor: 3.535

7.  UK population norms for the modified dental anxiety scale with percentile calculator: adult dental health survey 2009 results.

Authors:  Gerry Humphris; John R Crawford; Kirsty Hill; Angela Gilbert; Ruth Freeman
Journal:  BMC Oral Health       Date:  2013-06-24       Impact factor: 2.757

8.  Using nationally representative percentiles to interpret PROMIS pediatric measures.

Authors:  Adam C Carle; Katherine B Bevans; Carole A Tucker; Christopher B Forrest
Journal:  Qual Life Res       Date:  2020-11-17       Impact factor: 4.147

9.  Training-induced recovery of low-level vision followed by mid-level perceptual improvements in developmental object and face agnosia.

Authors:  Maria Lev; Sharon Gilaie-Dotan; Dana Gotthilf-Nezri; Oren Yehezkel; Joseph L Brooks; Anat Perry; Shlomo Bentin; Yoram Bonneh; Uri Polat
Journal:  Dev Sci       Date:  2014-04-04

10.  Percentile ranks and benchmark estimates of change for the Health Education Impact Questionnaire: Normative data from an Australian sample.

Authors:  Gerald R Elsworth; Richard H Osborne
Journal:  SAGE Open Med       Date:  2017-03-23
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