Which students skip school? A comparative study of sociodemographic factors and student absenteeism using PISA data

Author:

Fredriksson UlfORCID,Rasmusson Maria,Backlund Åsa,Isaksson Joakim,Kreitz-Sandberg Susanne

Abstract

This article explores which students–with regard to gender, socio-economic background and migration background–skip school in Germany, Japan, Sweden and the United Kingdom (UK) according to PISA data. Students who skip school are observed in many countries, but there is not much systematic research that studies this across countries. Comparable data is to a large extent missing. PISA data offers an opportunity to use comparable data. In PISA, students were asked in 2018, 2015 and 2012 whether they had skipped school a whole day in the last two weeks prior to their completion of the PISA student questionnaire. Patterns of how absence relates to sociodemographic factors vary in countries and school systems. In the comparison between the four countries the UK stands out as having a higher percentage of students who have reported that they have skipped school than in the other countries. This does not seem to be related to any specific group of students. Japan also stands out with a lower percentage of students who have reported that they have skipped school. According to PISA data, skipping school is more related to socio-economic background than any other of the variables studied. The socio-economic background seems to be related to skipping school in all three PISA studies in Sweden and the UK. Gender seems not to be an important factor in the four countries. In Sweden and Germany there is a lower percentage of non-immigrant students who report that they have skipped school than first-and second-generation immigrant students. In the UK the figures are more ambiguous. When the percentages of students skipping school are compared over time and in the countries, it is difficult to find any trends, but the data only covered three measurements during a period of six years, which may be too short a time span to see trends.

Funder

Swedish Research Council

Publisher

Public Library of Science (PLoS)

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