Abstract:The IQB Trends in Student Achievement 2018 is a nation-wide large-scale educational assessment using a trend design. The study includes achievement tests on mathematics, biology, chemistry, and physics as well as background questionnaires for students, their parents, subject teachers, and school principals. The datasets include data of 51.511 grade-9 students from 1.473 German schools assessed in 2018, data of 5.026 teachers, and 1.264 school principals. The 6 datasets and the study documentation are available… Show more
“…The next two papers in this special collection present data from ninth-grade students in Germany: The 2018 IQB Trends in Student Achievement Study (4) described by Busse et al (2022) focuses on students' education and learning outcomes in Germany. The IQB Trends in Student Achievement Study is a large-scale, nationally representative educational assessment that is conducted at regular intervals and is fundamental to educational monitoring in Germany.…”
In recent years, there has been a growing emphasis on the importance of open data and data sharing in scientific research (Nosek et al., 2015; van der Zee & Reich, 2018). However, in the educational field, access to FAIR (findable, accessible, interoperable, and reusable) data remains a significant challenge (Wilkinson et al., 2016). This special collection addresses this challenge by highlighting psychological data in educational research and showcasing examples of data that have been shared and made available to the scientific community in accordance with FAIR principles. With this special collection, we aim to explicitly encourage the use of shared research data for individual research projects.
“…The next two papers in this special collection present data from ninth-grade students in Germany: The 2018 IQB Trends in Student Achievement Study (4) described by Busse et al (2022) focuses on students' education and learning outcomes in Germany. The IQB Trends in Student Achievement Study is a large-scale, nationally representative educational assessment that is conducted at regular intervals and is fundamental to educational monitoring in Germany.…”
In recent years, there has been a growing emphasis on the importance of open data and data sharing in scientific research (Nosek et al., 2015; van der Zee & Reich, 2018). However, in the educational field, access to FAIR (findable, accessible, interoperable, and reusable) data remains a significant challenge (Wilkinson et al., 2016). This special collection addresses this challenge by highlighting psychological data in educational research and showcasing examples of data that have been shared and made available to the scientific community in accordance with FAIR principles. With this special collection, we aim to explicitly encourage the use of shared research data for individual research projects.
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