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Instrumente, Tests und Daten

Alle Instrumente und Daten werden nach dem Open Science Standard dokumentiert. Nachfolgend sind die beisher unter CC Lizenz veröffentlichten Instrumente, Projekte und Daten verlinkt.


Assessment of the quality of inclusive schools – A short version of the Quality Scale of Inclusive School Development (QU!S-S)

The assessment of the quality of inclusive schools is an instrument for evaluating five quality levels of inclusive school development and was derived on the basis of the more comprehensive instrument for the external rating of schools the "Quality scale of inclusive school development" (QU!S). The QU!S was developed by Heimlich, Wilfert, Ostertag and Gebhardt (2018) and used in research (Heimlich, Kahlert, Lelgemann, & Fischer 2016). It is based on an ecological multi-level model of inclusive school development (Heimlich, 2003; 2019).

The short scale comprises 25 questions. Five questions each address the following levels
- students with individual needs
- inclusive teaching
- interdisciplinary cooperation within the professional teams in school
- school concept and school life
- external support and communal networking (Heimlich, Wilfert, Ostertag & Gebhardt, 2018).

Instrument:

Article:

Michael Schurig, Sabine Weiß, Ewald Kiel, Ulrich Heimlich & Markus Gebhardt (2020) Assessment of the quality of inclusive schools A short form of the quality scale of inclusive school development (QU!S-S) – reliability, factorial structure and measurement invariance, International Journal of Inclusive Education, DOI: 10.1080/13603116.2020.1862405


Weitere Fragebögen und Ratingskalen

Lesetests in Levumi

Mathematiktests in Levumi

Direct Behavior Rating (Verhalten) in Levumi

Daten und OSF Projekte

Gebhardt, M., Devries, J. M., Jungjohann, J., Gegenfurtner, A., Kuhn, J. T., & Schurig, M. (2020, December 16). Direct Behavior Rating Multi Item Scale (MIS) across Occasions. https://doi.org/10.17605/OSF.IO/RGY79

DeVries, J. M., Kuhn, J.-T., & Gebhardt, M. (2019). Supplementary materials to "What applying growth mixture modeling can tell us about predictors of number line estimation" [Research data]. PsychOpen. https://doi.org/10.23668/psycharchives.2526

Jungjohann, J., Gebhardt, M., Mühling, A. & Devries, J. (2020). Using Theory-Based Test Construction to Develop a New Curriculum-Based Measurement for Sentence Reading Comprehension / Data & Syntax MPlus. https://doi.org/10.17605/OSF.IO/WQ76X