An IERI – International Educational Research Institute Journal
Table 1 Overview of articles in the special issue
Study | Data | Countries | Research focus | Research methods | |||||
|---|---|---|---|---|---|---|---|---|---|
DNK | FIN | ISL | NOR | SWE | Others | ||||
Steinmann and Olsen (2022) | − TIMSS 1995 Pop. A & B − TIMSS 2015 Pop. A & B | ✓ | ✓ | ✓ | − Cyprus − Greece − Scotland − Slovak Republic | Measuring the degree to which schools vary in effect of one school year on mathematics and science achievement (i.e., equality of school effectiveness) | Multilevel regression discontinuity design | ||
Rohatgi et al. (2022) | PISA 2015 | ✓ | ✓ | ✓ | ✓ | ✓ | Estimating association between student-perceived supportive climate in science classes and science achievement | Multilevel regression analysis with control variables | |
Yang Hansen et al. (2022) | − PISA 2000 − PISA 2018 | ✓ | ✓ | ✓ | ✓ | − Hong Kong − Beijing, Shanghai, Jiangsu, Zhejiang | Investigating associations between school contexts and student achievement and academic self-concept in reading | Multiple-group multilevel structural equation modelling approach | |
Nilsen et al. (2022) | − TIMSS 2015 Pop. B − TIMSS 2019 Pop. B | ✓ | Studying link between school climate and student motivation with decline in student mathematics achievement | Mediation structural equation modelling with trend design | |||||
Siebecke and Jarl (2022) | − PISA 2000 − PISA 2003 − PISA 2006 − PISA 2009 − PISA 2012 − PISA 2015 − PISA 2018 | ✓ | Identifying resilient schools in Sweden and whether material well-being at schools can compensate for socioeconomic disadvantages | The Kruskal-Wallis one-way ANOVA on ranks and pairwise comparison | |||||
Leino et al. (2022) | PIRLS 2016 | ✓ | ✓ | ✓ | ✓ | Examining the associations among teacher quality and instructional quality with cognitive and affective-motivational student outcomes | Structural equation modelling | ||
Costa and Chen (2023) | PISA 2012 | ✓ | ✓ | ✓ | Demonstrating the potential of examining process data from large-scale assessment to gain a deeper understanding of student performance | Latent regression modelling | |||