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

被引:71
作者
Crawford, John R. [1 ]
Garthwaite, Paul H. [2 ]
Slick, Daniel J. [3 ,4 ]
机构
[1] Univ Aberdeen, Univ London Kings Coll, Coll Life Sci & Med, Sch Psychol, Aberdeen AB24 2UB, Scotland
[2] Open Univ, Dept Math & Stat, Milton Keynes MK7 6AA, Bucks, England
[3] Univ Calgary, Dept Pediat, Calgary, AB T2N 1N4, Canada
[4] Univ Calgary, Dept Clin Neurosci, Calgary, AB T2N 1N4, Canada
关键词
Neuropsychological assessment; Interval estimates; Confidence intervals; Credible intervals; Test norms; Non-normal data; Percentile ranks; Bayesian methods; Reporting standards; Statistical reform; Computer scoring; INTERVAL ESTIMATION; CONFIDENCE-LIMITS; PROPORTION; SAMPLES;
D O I
10.1080/13854040902795018
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
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.
引用
收藏
页码:1173 / 1195
页数:23
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