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Adolescents' occupational expectations are relevant for occupational status attainment. In strong vocational education and training (VET) systems, such as in Germany, school leavers face the challenge of forming occupational expectations that correspond to the competitive VET market. This study investigates students' target occupations in the application process and its relation to their first training occupation. Do applicants for VET positions apply for occupations of different socioeconomic status over time? Does the status of the target occupations increasingly fit to the finally achieved training occupation? Are there differences by familial socioeconomic background? Analysis are based on longitudinal data on the application process collected from German students in lower secondary and intermediate secondary schools in one urban area. Overall, the status level of the target occupations at the beginning of the application process differs significantly according to school track, but additionally to school grades or family background. At the end of the application process, the application behaviour becomes diversified: applicants with poor school grades and of low status continue to apply for target occupations at a similar status level but at the same time apply for occupations of relative lower status. This lower level does not, however, translate into training occupations. [ABSTRACT FROM AUTHOR]

Ex-post harmonization of survey data creates new opportunities for research by extending the geographical and/or time coverage of analyses. Researchers increasingly combine data from different survey projects to analyze them as a single dataset, and while teams engaged in data harmonization continue to expand the information they provide to end users, there are still no commonly agreed standards for the documentation of data processing. Existing harmonization project typically opt for recode scripts that are generally hard to read, modify, and reuse, although some projects make efforts to facilitate verification and reproduction. This paper describes an alternative procedure and a set of simple tools for the exploration, recoding, and documentation of harmonization of survey data, relying on crosswalks. The presented tools are flexible and software-agnostic. The illustrative example uses the programming language R and spreadsheets—both common software choices among social scientists. Harmonization of variables on trust in institutions from four major cross-national survey projects serves as an illustration of the proposed workflow and of opportunities harmonization creates. [ABSTRACT FROM AUTHOR]