ri_test1

Example data for testing the need for a random intercept. Illustrates the need to adjust the p values for a modified LRT.

datasets

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Francis Huang

MLMusingR

Practical Multilevel Modeling

ri_test1 function

A data frame with 900 observations from 30 groups and 4 variables:<dl>
 <dt>y</dt>
<dd>The outcome variable.</dd> <dt>w1</dt>
<dd>A level-2 predictor.</dd> <dt>x1</dt>
<dd>A level-1 predictor</dd> <dt>group</dt>
<dd>The cluster identifier</dd>
</dl>

Format

Sample dataset 1 for testing the likelihood ratio test — ri_test1

A data frame with 900 observations from 30 groups and 4 variables:<dl>
 <dt>y</dt>
<dd>The outcome variable.</dd>

 <dt>w1</dt>
<dd>A level-2 predictor.</dd>

 <dt>x1</dt>
<dd>A level-1 predictor</dd>

 <dt>group</dt>
<dd>The cluster identifier</dd>


</dl>

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ri_test1: Sample dataset 1 for testing the likelihood ratio test

Description

Usage

Arguments

Format