multilevel (version 2.6)

mult.icc: Multiple ICCs from a dataset

Description

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.

Usage

mult.icc(x, grpid)

Arguments

x

A data frame containing the variables of interest in each column.

grpid

A vector identifying the groups from which the variables originated.

Value

Variable

The variable name.

ICC1

The intraclass correlation coefficient 1.

ICC2

The group mean reliability or intraclass correlation coefficient 2.

References

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.

See Also

ICC2 ICC1

Examples

# NOT RUN {
library(nlme)
data(bh1996)
mult.icc(bh1996[,c("HRS","LEAD","COHES")],grpid=bh1996$GRP)

# }