Topic
Author
Publication year
Geography
Source
Study title
Study group
Collection year
Thematic collection
show more filters
(3) |
(2) |
(1) |
(1) |
| more... |
(1) |
(1) |
| more... |
to |
(1) |
(2) |
(1) |
(1) |
(1) |
(1) |
(1) |
to |
(1) |
(1) |
(1) |
(1) |
(1) |
MethodologyMode of Data Collection
Sampling Procedure
Temporal Research Design
Analysis Unit
Kind of Data
More filtersInterview language
Analysis Unit
Sort by:
GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
- Research data
- Variables from questionnaires
- Instruments and tools
- Literature
- Publications on research data and survey instruments
- Open-access Publications in the Social Sciences
- Literature on "Women in Science and Research"
- Collections of the GESIS library
- General information and offers on the GESIS websites
Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772
Other Title (type): Income, (Mis-)
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Availability: Restricted Access
Subject area: [Volkswirtschaftslehre [=] Soziologie [=] Sozialpolitik]
Topics: inequality, attitude, income distribution, perception, redistribution, Europe, epidemic, household income, affectedness
Date(s) of Data Collection: 2020-03; 2020-03, 2020-06; 2020-07, 2021-04; 2021-04, 2022-07; 2022-10
Geographic coverage: [Deutschland / DE [=] Italien / IT [=] Polen / PL [=] Schweden / SE]
Temporal Research Design: cross-section, Longitudinal (panel study)
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Primärforschende, Institution: Beblo, Miriam; Universität Hamburg , Jäger, Julian; Universität Hamburg, Lohmann, Henning; Universität Hamburg, Sattler-Bublitz, Elisabeth; Universität Hamburg, Wang, Hequn; Universität Hamburg
Publication year: 2024
DOI: 10.7802/2772, 10.7802/2590
Study number: SDN-10.7802-2772
Project funder: Bundesministerium für Arbeit und Soziales, Deutsche Forschungsgemeinschaft
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2772
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2024-09-29 In dieser Version wurden die Daten mit zwei weiteren Panelwellen ergänzt. https://doi.org/10.7802/2772 |
| 1.0.0 | 2023-07-19 https://doi.org/10.7802/2590 |
Haensch, Anna-Carolina; Kreuter, Frauke; La Motte-Kerr, W.Li, Yao; Stewart, Kathleen; Weber, Wiebke; Zins, Stefan; Castro, Emma; Deen, Amanda; Ewald, Louisa M.; Gakidou, Emmanuela; Gillespie, Catherine W.; Huntely, Bethany M.; Tracy, Alison; Mokdad, Ali H.; Bellettiere, John; Farag, Tamer H.; Lee, Kristina; Palani, Sid
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2631
Abstract: The Pandemic Recovery Survey aims to study the impacts of COVID-19 across the world and to assist public health officials in focusing their efforts to recover from the pa ... more
Abstract: The Pandemic Recovery Survey aims to study the impacts of COVID-19 across the world and to assist public health officials in focusing their efforts to recover from the pa ... more
Availability: Free access (with registration)
License: The use of the data is permitted for public health stakeholders. If the data is used, it must be properly cited. Further Distribution of the data is prohibited. Please also note our terms of use when processing and managing the data: https://data.gesis.org/sharing/#!TermsOfUse.
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences [=] Medicine, Social Medicine]
Topics: health, attitude, vaccination, household income, health care services, health consequences, economic behavior, epidemic
Date(s) of Data Collection: 2023-03; 2023-05
Geographic coverage: [Chile / CL [=] Japan / JP [=] Nigeria / NG [=] Peru / PE [=] Argentina / AR [=] Brazil / BR [=] Colombia / CO [=] Egypt / EG [=] Germany / DE [=] India / IN [=] Indonesia / ID [=] Italy / IT [=] Mexico / MX [=] Philippines / PH [=] Poland / PL [=] South Africa / ZA [=] Spain / ES [=] Turkey / TR [=] United Kingdom of Great Britain and Northern Ireland / GB [=] United States of America / US [=] Viet Nam / VN]
Universe: The sample for the Pandemic Recovery Survey was originally designed to provide serial estimates of key economic, educational, and health indicators among specific subpopulations in 21 countries globally. The sampling frame was the Facebook Active User Base (FAUB) ages 18+. Due to budget constraints and changing priorities, we only fielded one cross-sectional survey among the FAUB in 21 selected countries. Countries include: Argentina, Brazil, Chile, Colombia, Egypt, Germany, India, Indonesia, Italy, Japan, Mexico, Nigeria, Peru, Philippines, Poland, South Africa, Spain,Türkiye, United Kingdom, United States, Viet Nam. We had two main goals for sampling, 1) to have an equivalent number of responses from males and females, and 2) to ensure that the sample was representative of the FAUB in each country. Statistical weighting, was used to address coverage and non-response bias.
Sampling Procedure: Probability Sample – Stratified Sample
Temporal Research Design: cross-section
Mode of Data Collection: Self-administered questionnaire
Primärforschende, Institution: Haensch, Anna-Carolina; Ludwig Maximilian University of Munich, Kreuter, Frauke; Ludwig Maximilian University of Munich, La Motte-Kerr, W.; University of Maryland, Li, Yao; University of Maryland, Stewart, Kathleen; University of Maryland, Weber, Wiebke; Ludwig Maximilian University of Munich, Zins, Stefan; University of Maryland, Castro, Emma; Institute For Health Metrics and Evaluation, Deen, Amanda; Institute For Health Metrics and Evaluation, Ewald, Louisa M.; Institute For Health Metrics and Evaluation, Gakidou, Emmanuela; Institute For Health Metrics and Evaluation, Gillespie, Catherine W.; Institute For Health Metrics and Evaluation, Huntely, Bethany M.; Institute For Health Metrics and Evaluation, Tracy, Alison; Institute For Health Metrics and Evaluation, Mokdad, Ali H.; Institute For Health Metrics and Evaluation, Bellettiere, John; Meta, Farag, Tamer H.; Meta, Lee, Kristina; Meta, Palani, Sid; Meta
Publication year: 2024
Study number: SDN-10.7802-2631
Contributor, Institution, Role: [Gakidou, Emmanuela; Institute For Health Metrics and Evaluation (Project Leader) [=] Mokdad, Ali H.; Institute For Health Metrics and Evaluation (Project Leader) [=] Kreuter, Frauke; Ludwig Maximilian University of Munich (Project Leader) [=] Stewart, Kathleen; University of Maryland (Project Leader) [=] Farag, Tamer H.; Meta (Project Leader) [=] Palani, Sid; Meta (Project Leader) [=] Bellettiere, John; Meta (Project Leader) [=] Weber, Wiebke; Ludwig Maximilian University of Munich (Project Manager) [=] Castro, Emma; Institute For Health Metrics and Evaluation (Researcher) [=] Deen, Amanda; Institute For Health Metrics and Evaluation (Researcher) [=] Ewald, Louisa M.; Institute For Health Metrics and Evaluation (Researcher) [=] Gillespie, Catherine W.; Institute For Health Metrics and Evaluation (Researcher) [=] Huntely, Bethany M.; Institute For Health Metrics and Evaluation (Researcher) [=] Haensch, Anna-Carolina; Ludwig Maximilian University of Munich (Researcher) [=] Li, Yao; University of Maryland (Researcher) [=] Motte-Kerr, Wichada La; University of Maryland (Researcher) [=] Zins, Stefan; University of Maryland (Researcher) [=] Lee, Kristina; Meta (Researcher) [=] Meta Platforms, Inc. (Sponsor)]
Project funder: Meta Platforms, Inc.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2631
Publications: Haensch, A., Kreuter, F., La Motte-Kerr, W., Li, Y., Stewart, K., Weber, W., Zins, S., Castro, E., Deen, A., Ewald, L. M., Gakidou, E., Gillespie, C. W., Huntely, B. M., Mokdad, A. H., Bellettiere, J., Farag, T. H., Lee, K., & Palani, S. (2023). Pandemic Response Survey. The University of Maryland. Retrieved from https://healthsurveys.umd.edu
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2852
Abstract: Detaillierte Angaben zur Einkommenssituation und Altersvorsorge.
Themen: Finanzielle Sicherung im Alter; Sorgen älterer Menschen; Anzahl und Nennung der Einkommensbezieh ... more
Abstract: Detaillierte Angaben zur Einkommenssituation und Altersvorsorge.
Themen: Finanzielle Sicherung im Alter; Sorgen älterer Menschen; Anzahl und Nennung der Einkommensbezieh ... more
Availability: Free access (with registration)
Subject area: [Other Fields of the Applied Social Sciences [=] Social Policy [=] Gerontology, Sociology of Aging]
Topics: pension, income, retirement pension, pension insurance, household income, income situation, retirement planning
Date(s) of Data Collection: 2019; 2019
Geographic coverage: [Germany / DE]
Universe: Personen im Alter ab 60 Jahren
Temporal Research Design: cross-section
Mode of Data Collection: Face-to-face interview
Publication year: 2025
Study number: SDN-10.7802-2852
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2852
IAMO - Leibniz Institute of Agricultural Development in Transition Economies. Data File Version 1.0.0, https://doi.org/10.7802/2268
Other Title (type): Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan ... more
Abstract: This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on ho ... more
Abstract: This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on ho ... more
Availability: Free access (with registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: Interdisciplinary and Applied Fields of the Social Sciences
Topics: Economics of migration, Migrant network, Migration research, Migration decision, Household survey, Household income, Mobility, Residential mobility, Household, Satisfaction, Happiness research, Remittances, Risk, internal migration, satisfaction with life, rural-urban migration, labor migration, short-distance migration, social norm, attitude, behavior control, happiness, household income, reference group, personality traits
Date(s) of Data Collection: 2017-06; 2017-08
Geographic coverage: Kazakhstan / KZ
Geographic coverage (free): [Central Asia]
Sampling Procedure: Mixed probability and non-probability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Face-to-face interview
Primärforschende, Institution: Dufhues, Thomas; Leibniz Institute of Agricultural Development in Transition Economies (IAMO)
Publication year: 2021
Study number: SDN-10.7802-2268
Contributor, Institution, Role: [Buchenrieder, Gertrud; Universität der Bundeswehr München (Projektleitung) [=] Herzfeld, Thomas; Leibniz Institute of Agricultural Development in Transition Economies (IAMO) (Projektleitung) [=] Runschke, David; Leibniz Institute of Agricultural Development in Transition Economies (IAMO) (Forscher/in) [=] Sagyndykova, Galiya; Nazarbayev University (Forscher/in) [=] Brosig, Stephan; Leibniz Institute of Agricultural Development in Transition Economies (IAMO) (Datenkurator/in) [=] Jantsch, Antje; Leibniz Institute of Agricultural Development in Transition Economies (IAMO) (Datenkurator/in)]
Project funder: Deutsche Forschungsgemeinschaft
Publisher: IAMO - Leibniz Institute of Agricultural Development in Transition Economies
Current Version: 1.0.0, https://doi.org/10.7802/2268
Publications: Dufhues, Thomas; Buchenrieder, Gertrud; Sun, Zhanli (2020) Exploring Policy Options in Regulating Rural–Urban Migration with a Bayesian Network: A Case Study in Kazakhstan. European Journal of Development Research., Dufhues, Thomas; Möllers, Judith; Traikova, Diana; Buchenrieder, Gertrud; Runschke, David (2021) Why villagers stay put – A structural equation model on staying intentions. Journal of Rural Studies. 81 (January), 345–357., Dufhues, Thomas; Buchenrieder, Gertrud; Runschke, David; Schmeidl, Susanne; Herzfeld, Thomas; Sagyndykova, Galiya (2021) Unpacking the Complexity of Migrant Agency in an Institutional Context – An exploration of The Akmola-Astana migration system. Europe-Asia Studies (accepted for publication).
