Multiple ICCs from a dataset
Given a data frame and a group identifier, this function will estimate ICC(1) and ICC(2) values for each column in the dataframe. Note that this function depends upon the nlme package, and it only works with one level of nesting (e.g., students within schools). The dependent variable is assumed to be gaussian.
mult.icc(x, grpid)
x |
A data frame containing the variables of interest in each column. |
grpid |
A vector identifying the groups from which the variables originated. |
Variable |
The variable name. |
ICC1 |
The intraclass correlation coefficient 1. |
ICC2 |
The group mean reliability or intraclass correlation coefficient 2. |
Paul Bliese paul.bliese@moore.sc.edu
Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and Analysis. In K. J. Klein & S. W. Kozlowski (Eds.), Multilevel Theory, Research, and Methods in Organizations (pp. 349-381). San Francisco, CA: Jossey-Bass, Inc.
Bartko, J.J. (1976). On various intraclass correlation reliability coefficients. Psychological Bulletin, 83, 762-765.
library(nlme)
data(bh1996)
mult.icc(bh1996[,c("HRS","LEAD","COHES")],grpid=bh1996$GRP)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.