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Conditioning factors of test-taking engagement in PIAAC: an exploratory IRT modelling approach considering person and item characteristics

Thomas Martens Oliver Lüdtke Background: A potential problem of low-stakes large-scale assessments such as the Programme for the International Assessment of Adult Competencies (PIAAC) is low test-taking

Performance decline in low-stakes educational assessments: different mixture modeling approaches

Background In low-stakes educational assessments, test takers might show a performance decline (PD) on end-of-test items. PD is a concern in educational assessments, especially when groups of students are to be compared on the proficiency variable because item responses gathered in the groups could be differently affected by PD. In order to account for PD, mixture item response...

Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note

Multiple imputation (MI) has become one of the main procedures used to treat missing data, but the guidelines from the methodological literature are not easily transferred to multilevel research. For models including random slopes, proper MI can be difficult, especially when the covariate values are partially missing. In the present article, we discuss applications of MI in...

Nested multiple imputation in large-scale assessments

Background In order to measure the proficiency of person populations in various domains, large-scale assessments often use marginal maximum likelihood IRT models where person proficiency is modelled as a random variable. Thus, the model does not provide proficiency estimates for any single person. A popular approach to derive these proficiency estimates is the multiple imputation...

Short assessment of the Big Five: robust across survey methods except telephone interviewing

We examined measurement invariance and age-related robustness of a short 15-item Big Five Inventory (BFI–S) of personality dimensions, which is well suited for applications in large-scale multidisciplinary surveys. The BFI–S was assessed in three different interviewing conditions: computer-assisted or paper-assisted face-to-face interviewing, computer-assisted telephone...

Vergleichbarkeit von Abiturleistungen

Der vorliegende Beitrag untersucht am Beispiel der Mathematik- und Englischleistungen vorhandene Leistungsunterschiede zwischen Baden-Württemberger (N = 3526) und Hamburger (N = 3734) Abiturienten daraufhin, ob und in welchem Ausmaß sich diese Leistungsunterschiede auch in den erteilten Noten im Abiturzeugnis widerspiegeln. Dabei wird auch der Frage nachgegangen, inwieweit Pr...

The Big-fish–little-pond-effect Stands Up to Critical Scrutiny: Implications for Theory, Methodology, and Future Research

The big-fish–little-pond effect (BFLPE) predicts that equally able students have lower academic self-concepts (ASCs) when attending schools where the average ability levels of classmates is high, and higher ASCs when attending schools where the school-average ability is low. BFLPE findings are remarkably robust, generalizing over a wide variety of different individual student and...

Intercoder-Reliabilität bei der Berufscodierung nach der ISCO-88 und Validität des sozioökonomischen Status

Indikatoren der sozialen Herkunft gehören seit jeher zu den Standardinstrumenten der empirischen Bildungsforschung. Die Bildung valider Rangskalen und Kategoriensysteme zur Erfassung der sozialen Herkunft setzt eine differenzierte Erfassung des Berufs und der ausgeübten beruflichen Tätigkeit der Eltern voraus. Die Codierung dieser Angaben nach standardisierten Vorgaben ist ein...