ExamScores

A partially observed version of the tutorial dataset in package R2MLwiN.It includes examination results from six inner London Education Authorities (school boards).

Similarly to package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi:10.1002/9781119942283>.
Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.

Matteo Quartagno

jomo

Multilevel Joint Modelling Multiple Imputation

ExamScores function

A data frame with 4059 observations on the following 6 variables.<dl>
 <dt><code>school</code></dt>
<dd>A school identifier.</dd> <dt><code>student</code></dt>
<dd>A student ID.</dd> <dt><code>normexam</code></dt>
<dd>Students' exam score at age 16, normalised and partially observed.</dd> <dt><code>sex</code></dt>
<dd>Sex of pupil; a factor with levels boy, girl.</dd> <dt><code>cons</code></dt>
<dd>A column of 1s. Useful to add an intercept to th eimputation model.</dd> <dt><code>standlrt</code></dt>
<dd>Students' score at age 11 on the London Reading Test (LRT), standardised.</dd> <dt><code>schgend</code></dt>
<dd>Schools' gender; a factor with levels corresponding to mixed school (mixedsch), boys' school (boysch), and girls' school (girlsch).</dd> <dt><code>avslrt</code></dt>
<dd>Average LRT score in school.</dd> <dt><code>schav</code></dt>
<dd>Average LRT score in school, coded into 3 categories: low = bottom 25%, mid = middle 50%, high = top 25%.</dd> <dt><code>vrband</code></dt>
<dd>Students' score in test of verbal reasoning at age 11, a factor with 3 levels: vb1 = top 25%, vb2 = middle 50%, vb3 = bottom 25%.</dd>
 
</dl>

Format

Exam results for six inner London Education Authorities — ExamScores

A data frame with 4059 observations on the following 6 variables.<dl>
 <dt><code>school</code></dt>
<dd>A school identifier.</dd>

 <dt><code>student</code></dt>
<dd>A student ID.</dd>

 <dt><code>normexam</code></dt>
<dd>Students' exam score at age 16, normalised and partially observed.</dd>

 <dt><code>sex</code></dt>
<dd>Sex of pupil; a factor with levels boy, girl.</dd>

 <dt><code>cons</code></dt>
<dd>A column of 1s. Useful to add an intercept to th eimputation model.</dd>

 <dt><code>standlrt</code></dt>
<dd>Students' score at age 11 on the London Reading Test (LRT), standardised.</dd>

 <dt><code>schgend</code></dt>
<dd>Schools' gender; a factor with levels corresponding to mixed school (mixedsch), boys' school (boysch), and girls' school (girlsch).</dd>

 <dt><code>avslrt</code></dt>
<dd>Average LRT score in school.</dd>

 <dt><code>schav</code></dt>
<dd>Average LRT score in school, coded into 3 categories: low = bottom 25%, mid = middle 50%, high = top 25%.</dd>

 <dt><code>vrband</code></dt>
<dd>Students' score in test of verbal reasoning at age 11, a factor with 3 levels: vb1 = top 25%, vb2 = middle 50%, vb3 = bottom 25%.</dd>


 
</dl>

ExamScores: Exam results for six inner London Education Authorities

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