wide

A dataset containing 30 observations with reading scores
taken in the fall kindergarten, spring kindergarten, and
spring first grade

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

wide function

A wide data frame of 30 observations:<dl>
 <dt>studentid</dt>
<dd>Factor indicating student identification</dd> <dt>int</dt>
<dd>treatment or control</dd> <dt>female</dt>
<dd>1 = female, 0 = male</dd> <dt>fall_k</dt>
<dd>Reading scores in fall kindergarten</dd> <dt>spring_k</dt>
<dd>Reading scores in spring kindergarten</dd> <dt>spring_g1</dt>
<dd>Reading scores in spring first grade</dd></dl>

Format

Wide dataset to be used for growth modeling — wide

A wide data frame of 30 observations:<dl>
 <dt>studentid</dt>
<dd>Factor indicating student identification</dd>

 <dt>int</dt>
<dd>treatment or control</dd>

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

 <dt>fall_k</dt>
<dd>Reading scores in fall kindergarten</dd>

 <dt>spring_k</dt>
<dd>Reading scores in spring kindergarten</dd>

 <dt>spring_g1</dt>
<dd>Reading scores in spring first grade</dd>



</dl>

wide: Wide dataset to be used for growth modeling

Description

Usage

Arguments

Format