Educational inequalities at the intersection of multiple social categories: A n introduction and systematic review of the multilevel analysis of individual heterogeneity …

L Keller, O Lüdtke, F Preckel, M Brunner - Educational Psychology Review, 2023 - Springer
Intersectional approaches have become increasingly important for explaining educational
inequalities because they help to improve our understanding of how individual experiences …

[HTML][HTML] The development of gender differences in information and communication technology (ICT) literacy in middle adolescence

T Gnambs - Computers in Human Behavior, 2021 - Elsevier
Abstract Information and communication technology (ICT) literacy represents an essential
skill for adolescents to efficiently participate in a modern society. Previous research reported …

[BOG][B] PISA 2018: Grundbildung im internationalen Vergleich

K Reiss, M Weis, E Klieme, O Köller - 2019 - books.google.com
Mit der PISA-Studie werden grundlegende Kompetenzen von Fünfzehnjährigen gegen
Ende der Pflichtschulzeit erfasst. Ziel ist es, Aussagen darüber zu treffen, wie gut die …

Random forest as an imputation method for education and psychology research: its impact on item fit and difficulty of the Rasch model

HF Golino, CMA Gomes - … Journal of Research & Method in …, 2016 - Taylor & Francis
This paper presents a non-parametric imputation technique, named random forest, from the
machine learning field. The random forest procedure has two main tuning parameters: the …

Do school resources reduce socioeconomic achievement gap? Evidence from PISA 2015

M Yang, HJ Lee - International Journal of Educational Development, 2022 - Elsevier
Despite the attention to the impact of school resources on student achievement, little is
known about how the school effect differs by students' socioeconomic backgrounds. Using …

Comparing group means with the total mean in random samples, surveys, and large-scale assessments: A tutorial and software illustration

S Weirich, M Hecht, B Becker, S Zitzmann - Behavior Research Methods, 2022 - Springer
In many disciplines of the social sciences, comparisons between a group mean and the total
mean is a common but also challenging task. As one solution to this statistical testing …

Secondary students' emotions, perceptions of instructional quality, and achievement in Mathematics: A representative study with Swiss students towards the end of …

T Hascher, G Hagenauer, S Sacchi - Contemporary Educational …, 2024 - Elsevier
The role of emotions in learning settings such as schools has been widely acknowledged in
research and practice. Prior research predominantly follows a variable-centred approach to …

Students' 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for emergent bilinguals

O Ramazan, S Dai, RW Danielson, Y Ardasheva… - Journal of School …, 2023 - Elsevier
Decades of research have indicated that reading self-concept is an important predictor of
reading achievement. During this period, the population of emergent bilinguals has …

On the treatment of missing data in background questionnaires in educational large-scale assessments: An evaluation of different procedures

S Grund, O Lüdtke, A Robitzsch - Journal of Educational …, 2021 - journals.sagepub.com
Large-scale assessments (LSAs) use Mislevy's “plausible value”(PV) approach to relate
student proficiency to noncognitive variables administered in a background questionnaire …

Exploiting TIMSS and PIRLS combined data: multivariate multilevel modelling of student achievement

L Grilli, F Pennoni, C Rampichini, I Romeo - 2016 - projecteuclid.org
We illustrate how to perform a multivariate multilevel analysis in the complex setting of large-
scale assessment surveys, dealing with plausible values and accounting for the survey …