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multilevel (version 2.7)

Multilevel Functions

Description

Tools used by organizational researchers for the analysis of multilevel data. Includes four broad sets of tools. First, functions for estimating within-group agreement and reliability indices. Second, functions for manipulating multilevel and longitudinal (panel) data. Third, simulations for estimating power and generating multilevel data. Fourth, miscellaneous functions for estimating reliability and performing simple calculations and data transformations.

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Version

Install

install.packages('multilevel')

Monthly Downloads

5,197

Version

2.7

License

GPL (>= 2)

Maintainer

Paul Bliese

Last Published

March 7th, 2022

Functions in multilevel (2.7)

awg

Brown and Hauenstein (2005) awg agreement index
cohesion

Small nested cohesion data frame
bhr2000

Data from Bliese, Halverson and Rothberg (2000)
boot.icc

Bootstrap ICC values in 2-level data
ad.m

Average deviation around mean or median
ICC2

Intraclass Correlation Coefficient 2 or ICC(2) from an aov model
bh1996

Data from Bliese and Halverson (1996)
chen2005

Data from Chen (2005)
ICC1

Estimate Intraclass Correlation Coefficient 1 or ICC(1) from an aov model
ad.m.sim

Simulate significance of average deviation around mean or median
gmeanrel

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

Estimate whether two independent correlations differ
make.univ

Convert data from multivariate to univariate form
lq2002

Data used in special issue of Leadership Quarterly, Vol. 13, 2002
item.total

Item-total correlations
klein2000

Data from Klein, Bliese, Kozlowski et al., (2000)
rgr.agree

Random Group Resampling for Within-group Agreement
rgr.ols

Random Group Resampling OLS Regression
graph.ran.mean

Graph Random Group versus Actual Group distributions
paneldat

Firm-Level Panel Data from Donald J. (DJ) Schepker
rwg.j.lindell

Lindell et al. r*wg(j) agreement index for multi-item scales
mult.make.univ

Convert two or more variables from multivariate to univariate form
rwg.j

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

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

Random Group Resampling of Covariance Theorem Decomposition
sobel

Estimate Sobel's (1982) Test for Mediation
rwg.j.sim

Simulate rwg(j) values from a random null distribution
rwg.sim

Simulate rwg values from a random null distribution
simbias

Simulate Standard Error Bias in Non-Independent Data
quantile.disagree.sim

S3 method for class 'disagree.sim'
mult.icc

Multiple ICCs from a dataset
quantile.agree.sim

S3 method for class 'agree.sim'
cordif.dep

Estimate whether two dependent correlations differ
mix.data

Randomly mix grouped data
rtoz

Conducts an r to z transformation
sam.cor

Generate a Sample that Correlates a Given Vector
summary.agree.sim

S3 method for class 'agree.sim'
sherifdat

Sherif (1935) group data from 3 person teams
waba

Covariance Theoreom Decomposition of Bivariate Two-Level Correlation
sim.icc

Simulate 2-level ICC(1) values with and without level-1 correlation
sim.mlcor

Simulate a multilevel correlation
summary.rgr.agree

S3 method for class 'rgr.agree'
rwg

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

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

S3 method for class 'rgr.waba'
quantile.rgr.waba

S3 method for class 'rgr.waba'
dgm.code

Create Coding Matrix for Discontinuous Growth Model
cronbach

Estimate Cronbach's Alpha
ran.group

Randomly mix grouped data and return function results
tankdat

Tank data from Bliese and Lang (2016)
univbct

Data from Bliese and Ployhart (2002)