Computation of Foulkes and Davis' nonparametric tracking index using GAUSS
- 1 January 1992
- journal article
- Published by Wiley in American Journal of Human Biology
- Vol. 4 (3) , 417-420
- https://doi.org/10.1002/ajhb.1310040318
Abstract
Foulkes and Davis (1981) define tracking as the maintenance of relative rank over a given time span. This paper outlines the development of their statistic, based on a set of individual growth profiles, which estimates the degree of tracking observed in a one‐sample longitudinal data set and shows how confidence intervals for the corresponding population parameter may be constructed. An example using a measure of skeletal growth is given and a GAUSS program to do the computations is provided. (Information on obtaining the GAUSS program is provided in the Appendix.) Properties of this statistical approach to tracking are contrasted with another non‐parametric method based on Cohen's kappa statistic.Keywords
This publication has 10 references indexed in Scilit:
- A GAUSS program for computing an index of tracking from longitudinal observationsAmerican Journal of Human Biology, 1990
- Implementation of Rao's one-sample polynomial growth curve model using SASAmerican Journal of Physical Anthropology, 1985
- Tracking: Prediction of Future Values from Serial MeasurementsPublished by JSTOR ,1981
- An Index of TrackingPublished by JSTOR ,1981
- An Index of Tracking for Longitudinal DataPublished by JSTOR ,1981
- Measuring the stability of individual growth patternsAnnals of Human Biology, 1981
- The Measurement of Observer Agreement for Categorical DataPublished by JSTOR ,1977
- On Some Convergence Properties of UStatisticsCalcutta Statistical Association Bulletin, 1960
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960