Harmonized survey data
Harmonizing and accumulating biographical data
Extensive harmonization of survey and especially biographical data has not been common in the social sciences. HaSpaD by GESIS (Leibniz-Institut für Sozialwissenschaften) provides a tool for harmonizing and accumulating, and thus comprehensively analyzing, survey-based longitudinal data sets on partnership biographies. […]
The project provides syntax-based harmonization processes available through the HaSpaD Harmonization Wizard. The HaSpaD Harmonization Wizard enables a customized selection of survey programs and variables. After downloading the source data sets from their repositories, the HaSpaD syntax package enables to generate an individually customized and harmonized data set of the source datasets. In addition to biographical data on partnerships, the HaSpaD target dataset may include other variables such as age, gender, citizenship, and education level. If all surveys are selected, the target data set will contain approximately 182,000 partnership biographies. […]
The HaSpaD project offers a syntax package that enables the creation of a customized and harmonized dataset based partnership biographies from surveys in Germany. The HaSpaD syntax package is available through the HaSpaD-Harmonization Wizard. Here, survey programs and additional variables can be selected. After the selection, users are asked to download and unpack the haspad.zip file, in which the harmonization syntax is carried out. Users are asked to individually sign user agreements with the providing research repositories of used source data sets. The original source files must be downloaded manually and saved in the respective folder within the HaSpaD environment ( ~haspad/2_source-folder). Subsequently, the HaSpaD harmonization syntax can be carried out to generate the customized and harmonized data set. […]
The HaSpaD project does not provide data sets for downloads. The HaSpaD project provides a syntax package that harmonizes source datasets from survey programs provided by data repositories. For detailed information on how to generate the HaSpaD target dataset, see the section “The HaSpaD Harmonization” and the HaSpaD Harmonization Wizard pages. […]
Vollständige Quelle: GESIS