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multilevel (version 2.6)

Multilevel Functions

Description

The functions in this package are designed to be used in the analysis of multilevel data by applied psychologists. The package includes functions for estimating common within-group agreement and reliability indices. The package also contains basic data manipulation functions that facilitate the analysis of multilevel and longitudinal data.

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Version

Install

install.packages('multilevel')

Monthly Downloads

7,157

Version

2.6

License

GPL (>= 2)

Maintainer

Paul Bliese

Last Published

August 4th, 2016

Functions in multilevel (2.6)

awg

Brown and Hauenstein (2005) awg agreement index
ad.m.sim

Simulate significance of average deviation around mean or median
boot.icc

Bootstrap ICC values in 2-level data
bhr2000

Data from Bliese, Halverson and Rothberg (2000)
bh1996

Data from Bliese and Halverson (1996)
chen2005

Data from Chen (2005)
ad.m

Average deviation around mean or median
cordif

Estimate whether two independent correlations differ
cordif.dep

Estimate whether two dependent correlations differ
cohesion

Five cohesion ratings from 11 individuals nested in 4 platoons in 2 larger units
cronbach

Estimate Cronbach's Alpha
graph.ran.mean

Graph Random Group versus Actual Group distributions
GmeanRel

Group Mean Reliability from an lme model (nlme package)
ICC1

Function to Estimate Intraclass Correlation Coefficient 1 or ICC(1) from an aov model
ICC2

Function to Estimate Intraclass Correlation Coefficient 2 or ICC(2) from an aov model
klein2000

Data from Klein, Bliese, Kozlowski et al., (2000)
item.total

Item-total correlations
lq2002

Data used in special issue of Leadership Quarterly, Vol. 13, 2002
make.univ

Convert data from multivariate to univariate form
mix.data

Randomly mix grouped data
quantile.rgr.waba

S3 method for class 'rgr.waba'
rmv.blanks

Remove blanks spaces from non-numeric variables imported from SPSS dataframes
rgr.waba

Random Group Resampling of Covariance Theorem Decomposition
mult.icc

Multiple ICCs from a dataset
rgr.agree

Random Group Resampling for Within-group Agreement
rgr.OLS

Random Group Resampling OLS Regression
ran.group

Randomly mix grouped data and return function results
mult.make.univ

Convert two or more variables from multivariate to univariate form
quantile.disagree.sim

S3 method for class 'disagree.sim'
quantile.agree.sim

S3 method for class 'agree.sim'
sim.icc

Simulate 2-level ICC(1) values with and without level-1 correlation
sam.cor

Generate a Sample that Correlates with a Fixed Set of Observations
simbias

Simulate Standard Error Bias in Non-Independent Data
sherifdat

Sherif (1935) group data from 3 person teams
rwg

James et al., (1984) agreement index for single item measures
rwg.sim

Simulate rwg values from a random null distribution
rwg.j

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

Conducts an r to z transformation
rwg.j.lindell

Lindell et al. r*wg(j) agreement index for multi-item scales
rwg.j.sim

Simulate rwg(j) values from a random null distribution
sobel

Estimate Sobel's (1982) Test for Mediation
summary.disagree.sim

S3 method for class 'disagree.sim'
summary.rgr.agree

S3 method for class 'rgr.agree'
summary.rgr.waba

S3 method for class 'rgr.waba'
tankdat

Tank data from Bliese and Lang (in press)
summary.agree.sim

S3 method for class 'agree.sim'
waba

Covariance Theoreom Decomposition of Bivariate Two-Level Correlation
univbct

Data from Bliese and Ployhart (2002)