Fachgruppe für Methoden und Evaluation - Universität Bamberg

Mi., 21.09., Keynote: Matthias von Davier,
11.30-12.30 Uhr, Hörsaal
M3/232N (H)
Some applications of multilevel diagnostic models to large scale assessment
data
Matthias von Davier
Educational Testing
Service
Princeton, NJ, USA
Data collected in national and international educational surveys
are hierarchically organized. Students are sampled
from within schools, and schools are sampled within states
or countries. Several methods of accounting for this multilevel
structure have been developed for a variety of psychometric
models. Examples are multilevel IRT (e.g. Fox
and Glas, 2003) or hierarchical extensions of latent class
analysis (Vermunt, 2003). For diagnostic classification approaches,
the general diagnostic model (von Davier &
Yamamoto, 2004) has been extended to a hierarchical
general diagnostic model (HGDM, von Davier, 2007).
In this talk, the HGDM and some recent applications of this
approach will be presented. The studies range from linking
cognitive scales in international assessments (Oliveri & von
Davier, 2011) to measuring growth in a national extension
of an international study (von Davier, Xu & Carstensen,
2010) to studies on scaling (von Davier, Naemi & Roberts,
2011) and the imputation of missing background data (Xu
& von Davier, 2011). Some direction for future extensions
will be discussed.
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