instruction

Data from a study on instructional improvement across 312 classrooms.

datasets

Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.

Laura Jamison

mlmtools

Multi-Level Model Assessment Kit

Laura Jamison 

Jessica Mazen 

Erik Ruzek 

Gus Sjobeck 

instruction function

A data frame with 1190 observations on the following 8 variables.<dl>
<dt><code>female</code></dt>
<dd>Dummy variable for being female</dd><dt><code>mathkind</code></dt>
<dd>Math achievement score in the spring of kindergarten</dd><dt><code>mathgain</code></dt>
<dd>Gain in math achievement score from spring of kindergarten to spring of first grade</dd><dt><code>ses</code></dt>
<dd>Socioeconomic status</dd><dt><code>mathprep</code></dt>
<dd>First grade teacher's mathematic preparation (based on number of courses taken)</dd><dt><code>classid</code></dt>
<dd>Classroom identifier</dd><dt><code>schoolid</code></dt>
<dd>School identifier</dd><dt><code>childid</code></dt>
<dd>Student identifier</dd>
</dl>

Format

Instruction Data — instruction

A data frame with 1190 observations on the following 8 variables.<dl>
<dt><code>female</code></dt>
<dd>Dummy variable for being female</dd>

<dt><code>mathkind</code></dt>
<dd>Math achievement score in the spring of kindergarten</dd>

<dt><code>mathgain</code></dt>
<dd>Gain in math achievement score from spring of kindergarten to spring of first grade</dd>

<dt><code>ses</code></dt>
<dd>Socioeconomic status</dd>

<dt><code>mathprep</code></dt>
<dd>First grade teacher's mathematic preparation (based on number of courses taken)</dd>

<dt><code>classid</code></dt>
<dd>Classroom identifier</dd>

<dt><code>schoolid</code></dt>
<dd>School identifier</dd>

<dt><code>childid</code></dt>
<dd>Student identifier</dd>


</dl>

instruction: Instruction Data

Description

Usage

Arguments

Format

References

Examples