R: Data from Bliese, Halverson and Rothberg (2000)
bhr2000
R Documentation
Data from Bliese, Halverson and Rothberg (2000)
Description
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. Most items are on a strongly
disagree to strongly agree scale. The RELIG item is on a never to always scale.
Usage
data(bhr2000)
Format
A data frame with 14 columns and 5,400 observations from 99 groups
[,1]
GRP
numeric
Group Identifier
[,2]
AF06
numeric
Officers get willing and whole-hearted cooperation
[,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 to the 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
References
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.