GCSE

Thiis dataset contains the scores on a written science exam (General Certificate of Secondary Education; GCSE) that is taken by \(N = 1905\) students in \(73\) schools in England. The exam is taken at the end of compulsory schooling, when students are typically \(16\) years old. The actual score maximum is \(160\), but here a rescaled score (with max value \(100\)) is provided. The data originally come from the package <code>mlmRev</code>, dataset <code>Gcsemv</code>.

dataset

Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.

Wim der Elst

NormData

Derivation of Regression-Based Normative Data

Wim Van der Elst

GCSE function

A <code>data.frame</code> with \(1905\) observations on \(3\) variables.<dl>
 <dt><code>Id</code></dt>
<dd>The Id number of the student.</dd> <dt><code>Gender</code></dt>
<dd>The gender of the student, coded as M = male and F = female.</dd> <dt><code>Science.Exam</code></dt>
<dd>The science exam score.</dd>
</dl>

Format

GCSE exam score — GCSE

A <code>data.frame</code> with \(1905\) observations on \(3\) variables.<dl>
 <dt><code>Id</code></dt>
<dd>The Id number of the student.</dd>

 <dt><code>Gender</code></dt>
<dd>The gender of the student, coded as M = male and F = female.</dd>

 <dt><code>Science.Exam</code></dt>
<dd>The science exam score.</dd>


</dl>

GCSE: GCSE exam score

Description

Usage

Arguments

Format