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dc.contributor.authorSchulz, Sonjade
dc.contributor.authorWeiß, Berndde
dc.contributor.authorSterl, Sebastiande
dc.contributor.authorHaensch, Anna-Carolinade
dc.contributor.authorSchmid, Lisade
dc.contributor.authorMay, Antoniade
dc.date.accessioned2021-10-08T07:42:52Z
dc.date.available2021-10-08T07:42:52Z
dc.date.issued2021de
dc.identifier.issn2364-3781de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/75135
dc.description.abstractExtensive harmonization of survey and especially biographical data has not been common in the social sciences. HaSpaD provides a tool for harmonizing and accumulating, and thus comprehensively analyzing, survey-based longitudinal data sets on partnership biographies. The following studies were harmonized and merged for a joint analysis for the third-party funded project "Harmonizing and synthesizing partnership histories from different research data infrastructures" (HaSpaD): the panel studies pairfam, SOEP and SHARE; the cross-section studies General German Social Survey, Mannheim Divorce Study and the Fertility and Family Survey; as well as the cross-section studies combined with partially repeated surveys Family Surveys, German Life History Studies and the Generations and Gender Surveys. 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.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.titleHaSpaD - Data Manual (September 2021)de
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume2021/12de
dc.publisher.countryDEUde
dc.publisher.cityKölnde
dc.source.seriesGESIS Papers
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozHarmonisierungde
dc.subject.thesozharmonizationen
dc.subject.thesozSekundäranalysede
dc.subject.thesozsecondary analysisen
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozdata preparationen
dc.subject.thesozEhepaarde
dc.subject.thesozmarried coupleen
dc.subject.thesozPartnerschaftde
dc.subject.thesozpartnershipen
dc.subject.thesozEhescheidungde
dc.subject.thesozdivorceen
dc.subject.thesozelterliche Trennungde
dc.subject.thesozparental separationen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockmonographde
dc.type.documentVerzeichnis, Liste, Dokumentationde
dc.type.documentlisten
dc.source.pageinfo105de
internal.identifier.classoz10105
internal.identifier.document30
dc.contributor.corporateeditorGESIS - Leibniz-Institut für Sozialwissenschaften
internal.identifier.corporateeditor133
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.21241/ssoar.75135
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
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internal.identifier.series919
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