Abstract

In 2011 the Progress in International Reading Literacy Study (PIRLS) and the Trends in International Mathematics and Science Study (TIMSS) were conducted at fourth grade in a number of participating countries with a shared representative sample. In this article we investigate whether there are multidimensional proficiency patterns across the competency domains or not. In order to derive proficiency patterns across the reading (PIRLS), mathematics and science (TIMSS) competence domains, latent profile analyses (LPA) of students’ plausible values were conducted. For this, the grade four student sample from 17 countries were combined and analyzed. The international reference model that resulted from this analysis was then applied with constraints to all 17 countries separately so that substantial comparisons between countries became possible. To describe and compare the differences between national profiles a classification system was developed and applied to all countries’ profile patterns. As a result of these international LPA seven groups of learners were identified. The profiles were approximately equidistant and parallel. For all countries we find that achievement across domains can be explained by a general level of achievement rather than subject-specific strengths or weaknesses of learners. However, subject-specific strengths and weaknesses can be identified but are—with the exception of Malta and Northern Ireland—for most of the countries rather small. For only about half of the countries, a rather uniform pattern of subject-specific strengths and weaknesses can be found on all competence levels. The subject itself varies between countries. In the other countries high, intermediate and low achievers differ in their relative subject-specific strength and weaknesses. The results suggest that differences in average achievement in TIMSS and PIRLS should also on country level be interpreted with caution. International comparative studies should further investigate potential reasons for the differences between countries.

Highlights

  • In 2011 the Progress in International Reading Literacy Study (PIRLS) and the Trends in International Mathematics and Science Study (TIMSS) were conducted at fourth grade in a number of participating countries with a shared representative sample

  • How is achievement in one domain related to another? Do the under-achieving students have specific strengths compared to high achievers? Do higher-achieving or lower-achieving students show similar patterns of strengths or weaknesses across countries? With this paper we aim to describe and compare achievement of Grade 4 learners between countries and across domain specific achievement by modelling multidimensional proficiency profiles making use of the combined datasets of the Progress in International Reading Literacy Study (PIRLS) and the Trends in International Mathematics and Science Study (TIMSS) 2011

  • This paper aims to answer the following main questions: (1) How many profiles describing achievement patterns of students in the participating EU countries can be separated? (2) What is the distribution of learners assigned to these profiles? (3) How are students distributed across the profiles with regard to their background characteristics, such as parent educational background, language spoken at home, positive attitude towards learning and domain-specific selfconcepts? (4) How are high- and low-achieving students in different European countries distributed? (5) Are there substantial differences in the multidimensional proficiency profiles across countries? (6) Can differences in the domain-specific strengths and weaknesses between countries be observed?

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Summary

Introduction

In 2011 the Progress in International Reading Literacy Study (PIRLS) and the Trends in International Mathematics and Science Study (TIMSS) were conducted at fourth grade in a number of participating countries with a shared representative sample. With this paper we aim to describe and compare achievement of Grade 4 learners between countries and across domain specific achievement by modelling multidimensional proficiency profiles making use of the combined datasets of the Progress in International Reading Literacy Study (PIRLS) and the Trends in International Mathematics and Science Study (TIMSS) 2011. A lot of these factors shape inter-individual differences in student achievement in a rather similar way (Bergold et al 2016). This might be a possible explanation for the finding that students in countries reaching certain levels in one achievement domain tend to reach similar results in other domains (e.g., Martin et al 2012; Mullis et al 2012a, b).

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