engage.miss

Example data used to investigate missing data (this has missing data).

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

engage.miss function

A data frame with 528 observations from 40 groups and 7 variables:<dl>
 <dt>eng</dt>
<dd>Student engagement.</dd> <dt>mot</dt>
<dd>Student motivation.</dd> <dt>gpa</dt>
<dd>Student grade point average.</dd> <dt>grade</dt>
<dd>Student grade level (6-8; a factor).</dd> <dt>rural</dt>
<dd>School level rural variable indicator; 1 = yes/0 = no.</dd> <dt>frpm</dt>
<dd>Percent of students eligible for free or reduced price meals at the school.</dd> <dt>school</dt>
<dd>School indicator (clustering variable).</dd>
</dl>

Format

Student engagement dataset (with missing data). — engage.miss

A data frame with 528 observations from 40 groups and 7 variables:<dl>
 <dt>eng</dt>
<dd>Student engagement.</dd>

 <dt>mot</dt>
<dd>Student motivation.</dd>

 <dt>gpa</dt>
<dd>Student grade point average.</dd>

 <dt>grade</dt>
<dd>Student grade level (6-8; a factor).</dd>

 <dt>rural</dt>
<dd>School level rural variable indicator; 1 = yes/0 = no.</dd>

 <dt>frpm</dt>
<dd>Percent of students eligible for free or reduced price meals at the school.</dd>

 <dt>school</dt>
<dd>School indicator (clustering variable).</dd>


</dl>

engage.miss: Student engagement dataset (with missing data).

Description

Usage

Arguments

Format