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HaSpaD - Data Manual (September 2021)

[list]

Schulz, Sonja
Weiß, Bernd
Sterl, Sebastian
Haensch, Anna-Carolina
Schmid, Lisa
May, Antonia

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

Extensive 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 harmo... view more

Extensive 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.... view less

Keywords
survey research; harmonization; secondary analysis; data preparation; married couple; partnership; divorce; parental separation; Federal Republic of Germany; data capture; data quality

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2021

City
Köln

Page/Pages
105 p.

Series
GESIS Papers, 2021/12

ISSN
2364-3781

Status
Published Version; reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.