bhr2000: 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)

Arguments

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	[,1]	GRP

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.