Evaluation MINT - Mathematik, Informatik, Naturwissenschaft und Technik
Project duration: 01.11.2009 - 31.10.2010
Research team: Dr. Andrea Löther, Jana Girlich
The BLK recommendation “Women Studying Engineering and Natural Science” (2002) is to be evaluated with the goal of determining whether the measures have led to an effective, sustainable increase in the proportion of women studying in this area and where the focus as well the holes in these activities lie.
1. Statistical analysis
Along with qualification steps, the portion of women will be differentially analyzed according to subject groups, subjects, federal states and type of university.
2. Aggregated presentation of previous measures
On the basis of a best-practice collection of federal states, supplemented with federal activities and, where applicable, more research, the measures are to be analyzed via an analytical framework that looks at the type of measure, target group, expected effects, federal state and other content. Patterns and clusters of the various criteria will be identified to obtain a structured overview of the activities. How the individual measures reciprocally add to the total concept will also be determined. Finally, the analytical framework will be used to identify particularly successful measures as best-practice examples.
3. Meta-analysis of selected evaluations of STEM-activities
Selected evaluation studies will be investigated in a meta-analysis to see which effects, successes and difficulties can be ascertained among the gender equality policy activities in the area of STEM-subjects. This should make clear which activities and measures are successful and under which conditions.
4. Conclusive evaluation with presentation of best-practice examples
The conclusive evaluation will demonstrate whether and to what extent the BLK-recommendations of 2002 were implemented. In addition, on the basis of the aggregated presentation of measures and the selected evaluations, best-practice examples will be presented for the individual areas of these measures – according to typology.