usaf function

17 anthropometric measures from the USAF showing a general factor

The correlation matrix of 17 anthropometric measures from the United States Air Force survey of 2420 airmen. The data are taken from the Anthropometry package and included here as a demonstration of a hierarchical factor structure suitable for analysis by the omega or omegaSem. data

data("USAF")

Format

The format is: num [1:17, 1:17] 1 0.1148 -0.0309 -0.028 -0.0908 ... - attr(*, "dimnames")=List of 2 ..$: chr [1:17] "age" "weight" "grip" "height" ... ..$ : chr [1:17] "age" "weight" "grip" "height" ...

Details

The original data were collected by the USAF and reported in Churchill et al, 1977. They are included as a data file of 2420 participants and 202 variables (the first being an id) in the Anthropometry package. The list of variable names may be found in Churchill et al, on pages 99-103.

The three (correlated) factor structure shows a clear height, bulk, and head size structure with an overall general factor (g) which may be interpreted as body size.

The variables included (and their variable numbers in Anthropometry) are:

age	V1
weight	V2
grip strength	V12
height (stature)	V13
leg length	V26
knee height	V37
upper arm	V42
thumb tip reach	V47
in sleeve	V49
chest breadth	V52
hip breadth	V55
waist circumference	V71
thigh circumference	V97
scye circumference	V103
head circumference	V141
bitragion coronal	V145
head length	V150
glabella to wall	V181
external canthus to wall	V183

Note that these numbers are equivalant to the numbers in Churchill et al. The numbers in Anthropometry are these + 1.

Source

Guillermo Vinue, Anthropometry: An R Package for Analysis of Anthropometric Data, Journal of Statistical Software, (2017), 77, 6. data set = USAFsurvey

References

Edmund Churchill, Thomas Churchill, Paul Kikta (1977) The AMRL anthropmetric data bank library, volumes I-V. (Technical report AMRL-TR-77-1) ) https://apps.dtic.mil/dtic/tr/fulltext/u2/a047314.pdf

Guillermo Vinue, Anthropometry: An R Package for Analysis of Anthropometric Data, Journal of Statistical Software, (2017), 77, 6.

Examples

data(USAF)
psych::corPlot(USAF,xlas=3)
psych::omega(USAF[c(4:8,10:19),c(4:8,10:19)])   #just the size variables