• Skip to primary navigation
  • Skip to main content

Researching Education

  • Index
  • Issues
    • Issue 1
    • Issue 2
    • Issue 3
    • Issue 4 [v2(1)]
    • Issue 5 [v.2(2)]
    • Issue 6 [v.2(3)]
    • Issue 7 [V2(4)]
    • Issue 8 [V2(5)]
    • Issue 9 [v2(6)]
    • Contents
      • Conversations
      • Published Projects
  • Subscribe
  • Terms & Conditions
  • About
  • Contact

A New Approach to Measuring Academic Underachievement

8 April 2022 by Deni Mazrekaj, Kristof De Witte and Thomas P. Triebs Leave a Comment

Gifted pupils underachieve as much as non-gifted pupils and class size is associated with underachievement.

Academic underachievement is detrimental for both the individual pupils and the society. Underachievers exhibit a severe discrepancy between expected achievement and actual achievement, not due to learning disabilities. This is different from low achievers who have poor outcomes relative to their peers but do not necessarily underperform given their potential.

Measuring underachievement is challenging

As pupils’ potential is essentially unobserved, it has been very difficult to measure underachievement. Practitioners such as student counsellors mostly use the nomination method in which teachers, parents or peers nominate underachievers based on a question such as “how well is this child performing in reading compared to how well you believe she could?”.  However, this method is entirely subjective, and it is especially difficult to identify gifted underachievers.

These pupils typically have reasonable grades but still perform under their potential. Moreover, there may be disagreement about who is an underachiever based on the person doing the nominating. Teachers may disagree with the parents that, in turn, may disagree with the pupils’ peers. For this reason, the academic literature mainly uses another approach to identify underachievers, namely the absolute split metho.

Specifically, pupils’ aptitude test scores (for instance an IQ test) are compared with achievement test scores (for instance mathematics or reading tests). Pupils who score above a certain threshold on the aptitude test but below a certain threshold on the achievement test are then defined as underachievers. Although less subjective than the nomination method, it is still necessary to subjectively choose the thresholds. Moreover, this approach assumes both tests are measured without error and it does not allow the researcher to control for contextual factors such as school, class and teacher characteristics.

Academic underachievement as production inefficiency

To tackle the issues of subjectivity, measurement error, and lack of contextual factors that characterize the nomination and the absolute split method, we used a novel approach from production economics called Stochastic Frontier Analysis. This method treats achievement as a production process with certain inputs (e.g., pupil and teacher characteristics) and certain outputs (e.g., mathematics or reading scores). The potential output is calculated based on inputs and contextual factors and the difference between the potential and the actual output is considered as production inefficiency.

We used data from the Flemish region of Belgium and observed 2,228 children in 168 schools over 6 years of primary education. Our output was a mathematics test score in each year of primary education. Thus, we estimated the potential mathematics test scores a child could achieve (based on a child’s ability as measured by the IQ score) and compared it with the mathematics test scores the student actually achieved, while keeping contextual factors such as gender, socioeconomic status and teacher characteristics constant.

Consequently, we propose a realistic benchmark that students are able to attain, rather than an idealistic benchmark obtained by a simple comparison of IQ scores to achievement test scores – as obtained by the earlier methods. Moreover, we account for measurement error, and we do not have to choose arbitrary thresholds.

Academic underachievement is high

Using our novel approach to underachievement, we found that children in Flemish primary education do not use about one fourth of their potential. We saw no significant differences by gender and origin. Interestingly, gifted children (IQ in the top 10 percent) underachieve just as much as other children.

We also found that class size is a determinant of underachievement, and that underachievement is minimal at a class size of about 20 pupils. Above a class size of 20 pupils, a larger class seems to exacerbate underachievement. Below a class size of 20 pupils, larger classes may actually reduce underachievement.

Note, however, that these are associations and not causal relationships. Nonetheless, a contribution of our research is that we related class size to underachievement (how does a pupil score on a test relative to their potential), whereas the previous literature focused on achievement (how does a pupil score on a test).

Advice to policy makers and teachers

These results are especially important for policy makers, but also teachers. Policy makers should take into account that children do not use much of their potential and that class size can be an important way to tackle underachievement.

Initiatives should be tailored to the needs of students in order to further tackle underachievement. Teachers should take into account that high ability pupils also underachieve. Even though these students often display either average or high scores on the tests, many of these students could do even better. Thus, it is important to stay alert and not only focus on students who struggle with the course material, but also students who are bored or daydreaming.

Authored by:

Deni Mazrekaj
more posts

Deni Mazrekaj is an Assistant Professor of Sociology at Utrecht University and an affiliated researcher at the University of Oxford and KU Leuven.

  • Deni Mazrekaj
    #molongui-disabled-link
    The effect of modular education on school dropout
Kristof De Witte
more posts

Kristof De Witte is a professor at the Faculty of Economics and Business at KU Leuven, Belgium, and he holds the chair in “Effectiveness and Efficiency of Educational Innovations” at United Nations University (UNU-MERIT) at Maastricht University, the Netherlands. Kristof is also a Fellow member of the CESifo Network (Ludwig-Maximilians-University and Ifo Institute), and of the Finish VATT Institute for Economic Research.

  • Kristof De Witte
    #molongui-disabled-link
    The effect of modular education on school dropout
Thomas P. Triebs
more posts

Thomas P. Triebs is a Lecturer in Economics at Loughborough University.

    This author does not have any more posts.

Filed Under: Published Projects

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Copyright © 2025 · Researching Education · Website Charnwood Web Design · Log in

  • Home
  • Terms & Conditions
  • Acceptable Use Policy
  • Cookie Policy
  • Subscribe
  • Contact
This website uses cookies to improve your experience. All non-necessary cookies are disabled unless you decide to enable these. Cookie settingsACCEPT
Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.

CookieTypeDurationDescription
_gaAnalytics2 YearsThis cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors.
_gat_gtag_UA_780707_86Analytics1 minuteGoogle uses this cookie to distinguish users.
_gidAnalytics1 dayThis cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form.
cookielawinfo-checkbox-necessary1 HourThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-non-necessary1 HourThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Non-necessary".
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.

SAVE & ACCEPT