bhr2000 {multilevel} | R Documentation |
This data set contains the complete data used in Bliese, Halverson & Rotheberg (2000). The data set contains 14 variables with individual ratings of US Army Company leadership, work hours, and the degree to which individuals find comfort from religion. The leadership and workhours variables are subsets of the Bliese and Halveson (1996) data set; however, in the case of leadership, the agree data set contains the 11 items that make up the scale whereas the bh1996 data set contains only the scale score.
data(bhr2000)
A data frame with 14 columns and 5,400 observations from 99 groups
[,1] | GRP | numeric | Group Identifier |
[,2] | AF06 | numeric | Officers most always get willing and whole-hearted cooperation (stongly disagree to strongly agree) |
[,3] | AF07 | numeric | NCOS most always get willing and whole-hearted cooperation |
[,4] | AP12 | numeric | I am impressed by the quality of leadership in this company |
[,5] | AP17 | numeric | I would go for help with a personal problem...company chain of command |
[,6] | AP33 | numeric | Officers in this Company would lead well in combat |
[,7] | AP34 | numeric | NCOs in this Company would lead well in combat |
[,8] | AS14 | numeric | My officers are interested in my personal welfare |
[,9] | AS15 | numeric | My NCOs are interested in my personal welfare |
[,10] | AS16 | numeric | My officers are interested in what I think and feel about things |
[,11] | AS17 | numeric | My NCOs are intested in what I think and fell about things |
[,12] | AS28 | numeric | My chain-of-command works well |
[,13] | HRS | numeric | How many hours do you usually work in a day |
[,14] | RELIG | numeric | How often do you gain strength of comfort from religious beliefs and practices (never to always) |
Bliese, P. D. & Halverson, R. R. (1996). Individual and nomothetic models of job stress: An examination of work hours, cohesion, and well-being. Journal of Applied Social Psychology, 26, 1171-1189.
Bliese, P. D., Halverson, R. R., & Rothberg, J. (2000). Using random group resampling (RGR) to estimate within-group agreement with examples using the statistical language R.