bhr2000: Data from Bliese, Halverson and Rothberg (2000)
In multilevel: Multilevel Functions

bhr2000

R Documentation

Data from Bliese, Halverson and Rothberg (2000)

Description

The complete data used in Bliese, Halverson and Rothberg (2000). Contains 14 variables referencing 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 (bh1996); however, in the case of leadership, the data set contains the 11 scale items 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 ID
[,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.

multilevel documentation built on March 18, 2022, 5:47 p.m.