From the research index
The paper comes from the research index. It wasn’t submitted here.
Journal article
Using process data to explain group differences in complex problem solving.
Beate Eichmann, Frank Goldhammer, Samuel Greiff and 2 others
Journal of Educational Psychology30 Jan 2020Open access
Using process data to explain group differences in complex problem solving.
Beate Eichmann, Frank Goldhammer, Samuel Greiff and 2 others · Journal of Educational Psychology · 30 Jan 2020
Abstract
The full text is at the publisher
You can read the abstract here, or open it at the publisher.
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by considering behavioral process measures as mediating variables between group membership and performance on the 2012 Programme for International Student Assessment complex problem solving (CPS) items. We found that across all investigated countries interactive behavior can fully explain gender differences in CPS, but cannot explain differences between students with and without a migration background. However, in some countries these results differ from the cross-country results. Our results indicate that process measures derived from log data are useful for further investigating and explaining performance differences between girls and boys and students with and without migration background. (DIPF/Orig.)
Identifiers
- NobleID
- NI3P53W81R86S93
Discussion
Citations
Topics
Details
- Authors
- Beate Eichmann, Frank Goldhammer, Samuel Greiff, Liene Brandhuber, Johannes Naumann
- Published
- 30 Jan 2020
- Publisher
- American Psychological Association
- Issue
- Volume 112 · Issue 8 · Pages 1546–1562
- ISSN
- 0022-0663
- Language
- EN