A Multivariate Discriminant Method For Comparing Growth Data In A Study Group With Age-Matched Means And Standard Deviations From A Control Group

Document Type

Article

Authors

Charles Hoff, University of South Alabama, Mobile, AL
Will R. Blackburn, University of South Alabama, Mobile, AL

Abstract

A technique is presented which may be used for performing statistical comparisons of growth data between two groups in those situations when the data from one group is only available in the form of means and standard deviations for specified age groupings. This technique is based upon a modification of Welch’s log-odds technique and may be used in both univariate and multivariate applications— including multivariate discrimination. An example of its application to adolescent growth data from two Andean Quechua populations is provided to illustrate its comparability with statistical techniques which would be used if the raw data were available for both groups.

Recommended Citation

Hoff, Charles and Blackburn, Will R. (1981) "A Multivariate Discriminant Method For Comparing Growth Data In A Study Group With Age-Matched Means And Standard Deviations From A Control Group," Human Biology: Vol. 53: Iss. 4, Article 5.
Available at: https://digitalcommons.wayne.edu/humbiol/vol53/iss4/5