Dr. Daniel Klein

Reusing research data is an important part of research practice in the social and economic sciences. To find suitable data, researchers need functional search options. However, a comprehensive search for data is hampered by inconsistent or missing semantic indexing because different survey programs use their own terminology for documentation. In most cases, there is no link between the measured theoretical concepts and the variables. From the user's perspective, the fragmentation of data documentation hampers data retrieval and thus limits the research potential of existing data. The challenge, therefore, lies in the concept-oriented indexing of data. [...] Full Abstract: https://zenodo.org/records/11047523

"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student [...] Full Abstract: https://doi.org/10.21249/DZHW:sid2021:1.0.0

wgtdistrim trims extreme sampling weights using the weight distribution approach suggested by Potter (1990). The reciprocal of the sampling weights are assumed to follow a (scaled) beta distribution. The parameters of the beta distribution are estimated from the sampling weights and the trimming levels (cut-offs) are computed for the specified percentiles. Sampling weights that are more extreme than the specified percentiles are trimmed to these percentiles and the excess is distributed equally among the untrimmed sampling weights so that the sum of the trimmed sampling weights equals the sum of the untrimmed sampling weights. This process is repeated a specified number of times (or until the trimmed sampling weights do no longer change).

The DZHW-Panel Study of School Leavers 2018 is part of the DZHW-Panel Study of School Leavers survey series, in which standardized multiple surveys are used to collect information on the post-school careers of school leavers with a (school) higher education entrance qualification. As a rule, several survey waves are conducted at different times before and after the acquisition of the higher education entrance qualification. Accordingly, this is a combined cohort-panel design. The panel 2018 is the 21st cohort of the survey series of which the data of the first survey wave will be published first. [...] Full abstract: https://doi.org/10.21249/DZHW:gsl2018:1.0.0