suspend

Data from 8465 students from 100 schools in
Virginia

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

suspend function

Dataset:<dl>
 <dt>school</dt>
<dd>School identifier</dd> <dt>pminor</dt>
<dd>Percent minority enrollment at school</dd> <dt>male</dt>
<dd>1 = male, 0 = female</dd> <dt>sus</dt>
<dd>Whether the student was suspended (1 = yes) in the
 school year or not (0 = no). Self reported.</dd> <dt>fight</dt>
<dd>If the student got into one or more fights (1 = yes) in
 the school year</dd> <dt>gpa</dt>
<dd>Students self-reported GPA; 1 = D to 4 = A</dd></dl>

Format

Suspension data from Virginia — suspend

Dataset:<dl>
 <dt>school</dt>
<dd>School identifier</dd>

 <dt>pminor</dt>
<dd>Percent minority enrollment at school</dd>

 <dt>male</dt>
<dd>1 = male, 0 = female</dd>

 <dt>sus</dt>
<dd>Whether the student was suspended (1 = yes) in the
 school year or not (0 = no). Self reported.</dd>

 <dt>fight</dt>
<dd>If the student got into one or more fights (1 = yes) in
 the school year</dd>

 <dt>gpa</dt>
<dd>Students self-reported GPA; 1 = D to 4 = A</dd>



</dl>

suspend: Suspension data from Virginia

Description

Usage

Arguments

Format