rwg.j {multilevel}R Documentation

James et al., (1984) agreement index for multi-item scales

Description

This function calculates the within group agreement measure rwg(j) for multiple item measures as described in James, Demaree & Wolf (1984).

Usage

rwg.j(x, grpid, ranvar=2)

Arguments

x A matrix representing the scale items. Each column of the matrix represents a separate item, and each row represents an individual respondent.
grpid A vector identifying the group from which x originated.
ranvar The random variance to which actual group variances are compared. The value of 2 represents the variance from a rectangular distribution in the case where there are 5 response options (e.g., Strongly Disagree, Disagree, Neither, Agree, Strongly Agree). In cases where there are not 5 response options, the rectangular distribution is estimated using the formula ranvar=(A^2-1)/12 where A is the number of response options. Note that one is not limited to the rectangular distribution; rather, one can include any appropriate random value for ranvar.

Value

grpid The group identifier
rwg.j The rwg(j) estimate for the group
gsize The group size

Author(s)

Paul Bliese paul.bliese@us.army.mil

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.

James, L.R., Demaree, R.G., & Wolf, G. (1984). Estimating within-group interrater reliability with and without response bias. Journal of Applied Psychology, 69, 85-98.

See Also

ad.m rwg rgr.agree rwg.j.lindell rwg.j.sim

Examples

data(lq2002)
RWGOUT<-rwg.j(lq2002[,3:13],lq2002$COMPID)
RWGOUT[1:10,]
summary(RWGOUT)

[Package multilevel version 2.3 Index]