Description Usage Format Examples

This Covariance matrix was used as the population model for one set of simulations. It was used to represent a congeneric data structure in which the factor loadings are set at .5, .6, .7, .8, .5, .6, .7, and .8. The error variances were set at .6^2, .7^2, .8^2, .9^2, .6^2, .7^2, .8^2, and .9^2.

1 |

A covariance matrix of 8 theoretical items.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
###---Loadings
fx<-t(matrix(c(
.5,
.6,
.7,
.8,
.5,
.6,
.7,
.8), nrow=1))
###--Error Variances
err<-diag(c(.6^2,.7^2,.8^2,.9^2,
.6^2,.7^2,.8^2,.9^2))
###---matrix of factor covariances
phi<-matrix(1, nrow=1)
###---Reliability Calculation---###
t1<-matrix(c(rep(1,8)), nrow=1)
t1t<-matrix(c(rep(1,8)), ncol=1)
(fx%*%phi%*%t(fx)+err)
``` |

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