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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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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.
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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2743
Other Title (type): Was die Deutschen über Technik denken (Untertitel), Schwerpunkt: Nachhaltiges Bauen und Wohnen (Untertitel)
Abstract: Im Fokus des TechnikRadar 2023 steht die Frage, wie die Deutschen nachhaltiges Bauen und Wohnen beurteilen. Das TechnikRadar ist eine regelmäßige, bundesweit repräsentati ... more
Abstract: Im Fokus des TechnikRadar 2023 steht die Frage, wie die Deutschen nachhaltiges Bauen und Wohnen beurteilen. Das TechnikRadar ist eine regelmäßige, bundesweit repräsentati ... more
Availability: Free access (without registration)
Subject area: Sociology of Science, Sociology of Technology, Research on Science and Technology
Date(s) of Data Collection: 2022-09-04; 2022-10-12
Geographic coverage: Germany / DE
Universe: Deutschsprachige Wohnbevölkerung in Deutschland ab 16 Jahren
Temporal Research Design: Longitudinal (trend study), cross-section
Mode of Data Collection: Telephone interview
Primärforschende, Institution: Hauser, Wolfgang; ZIRIUS, Kropp, Cordula; ZIRIUS
Publication year: 2024
Study number: SDN-10.7802-2743
Contributor, Institution, Role: Renn, Ortwin; acatech (Project Leader)
Project funder: Körber-Stiftung, acatech
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2743
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TechnikRadar2023_Daten.dta
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MD5: | 4b26960e28c53c56581686e66e0da073 |
---|---|
Type of file: | Research Data |
File size: | 983.6 KB |
Language: | German / de |
Number of variables: | 191 |
Number of units: | 2011 |
Geographical location - State, Country (according to ISO-3166): | Germany / DE |
Temporal research design: | Longitudinal:Trend/Repeated Cross-section |
Data collection mode: | Telephone interview |
Survey period: | 2022-09-04; 2022-10-12 |
Downloads:
TechnikRadar_2023_Fragebogen.pdf
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MD5: | b628aa7cbb6cdf392258bbd7b4b9e874 |
---|---|
Type of file: | Questionnaire |
File size: | 319.54 KB |
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TechnikRadar_2023_Codebook.xlsx
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MD5: | a3b1d23ef73b64d41d4cd9c9f4688268 |
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Type of file: | Codebook |
File size: | 58.84 KB |
Downloads:
TechnikRadar_2023_Methodenbericht.pdf
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MD5: | c57e17d78b957dcc0071861a6eed98f1 |
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Type of file: | Methods Report |
File size: | 541.31 KB |
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 |
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a_soecbias_covref_data_2020-2022_w1-4_panel.dta
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MD5: | 10c5d37c19291b3f910d21282b669925 |
---|---|
Type of file: | Research Data |
File size: | 20.4 MB |
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Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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W1_Fragebogen_de.pdf
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MD5: | 4741c60cbdc6ccd15904ceb0e858c9b2 |
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Type of file: | Questionnaire |
File size: | 584.74 KB |
W1_questionnaire_en.pdf
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MD5: | 276a4de502cba3368f7f047235011d0d |
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Type of file: | Questionnaire |
File size: | 713.22 KB |
W1_questionnaire_screenshots_it.pdf
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MD5: | 8f5ab5e1cfddc75d8c515d1ac2936507 |
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Type of file: | Questionnaire |
File size: | 1.29 MB |
W1_questionnaire_screenshots_pl.pdf
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MD5: | fd8f9ba60a5f5b6a3f794c9edf0d07a4 |
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Type of file: | Questionnaire |
File size: | 1.36 MB |
W1_questionnaire_screenshots_se.pdf
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MD5: | 9850761cb59656ec9b11372a8ec214d4 |
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Type of file: | Questionnaire |
File size: | 1.25 MB |
W2_Fragebogen_de.pdf
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MD5: | 1b9df5e1393ea51971fb07f3a2a3104e |
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Type of file: | Questionnaire |
File size: | 370.16 KB |
W2_questionnaire_en.pdf
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MD5: | 2845ea320992017165a641390638c71b |
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Type of file: | Questionnaire |
File size: | 352.43 KB |
W3_Fragebogen_de.pdf
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MD5: | 3689875a72a9789858cefd2553e6026c |
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Type of file: | Questionnaire |
File size: | 371.92 KB |
W3_questionnaire_en.pdf
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MD5: | 85c19aba34aa7bae5756d445edc20444 |
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Type of file: | Questionnaire |
File size: | 344.92 KB |
W4_Fragebogen_de.pdf
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MD5: | b7404fabcc3f68558c893b64554ab162 |
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Type of file: | Questionnaire |
File size: | 542.11 KB |
W4_questionnaire_en.pdf
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MD5: | 506ce56fe038baf9ebee9eca848a90e2 |
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Type of file: | Questionnaire |
File size: | 528.43 KB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Method_report.pdf
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MD5: | 34904f2977bd22176c7dc3bb12894405 |
---|---|
Type of file: | Methods Report |
File size: | 449.37 KB |
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
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PRS_Microdata.csv
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MD5: | 67af41c51a1e97ba7720974ce618ad16 |
---|---|
Type of file: | Research Data |
File size: | 494.05 MB |
Additional information about the file | Due to the size of the data set of approx. 500 MB, the download process may take some time. Please note that there is currently no progress bar for the download time. |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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PRS_Survey_Questions.pdf
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MD5: | da43dcb4e0af764fd838136dff490d2b |
---|---|
Type of file: | Questionnaire |
File size: | 420.65 KB |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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PRS_Codebook.xlsx
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MD5: | 426d619acb62ba2047a57499ced9263b |
---|---|
Type of file: | Codebook |
File size: | 28.9 KB |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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PRS_Methodology.docx
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MD5: | d0e3155577588650605a5eb8e83d9ca2 |
---|---|
Type of file: | Methods Report |
File size: | 269.04 KB |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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PRS_UserGuideWeights.pdf
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MD5: | 1efc689a828d7691bc3fb13b4034c461 |
---|---|
Type of file: | Technical Report |
File size: | 161.25 KB |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2553
Other Title (type): DIGIPaed (Project title), Pädagogische Überzeugungen und Motivationen als Gelingensfaktoren der Implementierung in der pädagogischen Praxis (Subtitle)
Abstract: Digitale Medien gehören mittlerweile zur Lebensrealität von fast allen Familien und Kindern in Deutschland. Internationale Forschungsarbeiten weisen auf große Potenziale ... more
Abstract: Digitale Medien gehören mittlerweile zur Lebensrealität von fast allen Familien und Kindern in Deutschland. Internationale Forschungsarbeiten weisen auf große Potenziale ... more
Availability: Restricted Access
Embargo until: 2025-03-30
Subject area: [Elementary Education Sector]
Date(s) of Data Collection: 2020-09; 2021-08
Geographic coverage: [Germany / DE]
Geographic coverage (free): [Bremen [=] Bayern [=] Sachsen-Anhalt [=] Nordrhein-Westfalen]
Universe: Kindertageseinrichtungen in den Bundesländern Sachsen-Anhalt, Nordrhein-Westfalen, Bremen und Bayern
Sampling Procedure: Mixed probability and non-probability Sample
Temporal Research Design: cross-section, Time series
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Primärforschende, Institution: Cohen, Franziska; Pädagogische Hochschule Freiburg im Breisgau, Anders, Yvonne; Universität Bamberg
Publication year: 2023
Study number: SDN-10.7802-2553
Contributor, Institution, Role: [Schroeder, Sarah; Universität Bamberg (Contact Person)]
Project funder: Bundesministerium für Bildung und Forschung
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2553
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FS_Datensatz_GESIS_2.sav
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MD5: | 14bb06dc2a86740d41b69ba4f1862546 |
---|---|
Type of file: | Research Data |
File size: | 467.64 KB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Number of variables: | 433 |
Number of units: | 266 |
Software and Version | SPSS |
Additional information about the file | Datensatz Fachkräfte |
LS_Datensatz_GESIS_2.sav
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MD5: | a18fb076b590acef947b65f4ca40ad08 |
---|---|
Type of file: | Research Data |
File size: | 109.6 KB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Number of variables: | 143 |
Number of units: | 196 |
Software and Version | SPSS |
Additional information about the file | Datensatz Leitungskraft/Einrichtung |
TB_Datensatz_GESIS_2.sav
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MD5: | 28e7c89ea0a0df646c550d5b102be0d2 |
---|---|
Type of file: | Research Data |
File size: | 3.52 MB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Number of variables: | 1118 |
Number of units: | 44 |
Software and Version | SPSS |
Additional information about the file | Tagebuchdatensatz |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Fachkraftfragebogen.pdf
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MD5: | 99c4fa0979f8903a7d1d5347dc61f0a4 |
---|---|
Type of file: | Questionnaire |
File size: | 618.81 KB |
Version number: | 2 |
Version date: | 2023-07-14 |
Language: | German / de |
Additional information about the file | Fachkraftfragebogen |
Leitungsfragebogen.pdf
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MD5: | 7bbe4ae694296bf07e7b4d32f3bfdcbf |
---|---|
Type of file: | Questionnaire |
File size: | 294.8 KB |
Version number: | 2 |
Version date: | 2023-07-14 |
Language: | German / de |
Additional information about the file | Fragenbogen für Leitungskräfte von Kindertageseinrichtungen |
Tagebuch.pdf
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MD5: | 4b98fa4d638c1770598d24bc11332d1a |
---|---|
Type of file: | Questionnaire |
File size: | 480.01 KB |
Version number: | 2 |
Version date: | 2023-07-14 |
Language: | German / de |
Additional information about the file | Tagebuchfragebogen |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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As soon as your request has been approved, you can log in and download the data here.
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Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Variablenhandbuch_FK.pdf
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MD5: | a48f40df91dfbf8898d89168472a9452 |
---|---|
Type of file: | Codebook |
File size: | 625.06 KB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Additional information about the file | Variablenhandbuch Fachkraft |
Variablenhandbuch_LS.pdf
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MD5: | 258b3d52e697cf65fb743f7d6628f365 |
---|---|
Type of file: | Codebook |
File size: | 350.33 KB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Additional information about the file | Variablenhandbuch Leitungsfragebogen |
Variablenhandbuch_TB.pdf
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MD5: | baeb93e95379c3793fd61a07c32a0163 |
---|---|
Type of file: | Codebook |
File size: | 360.21 KB |
Version number: | 3 |
Version date: | 2023-09-12 |
Language: | German / de |
Additional information about the file | Variablenhandbuch Tagebuch |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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As soon as your request has been approved, you can log in and download the data here.
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Methodenbericht_DIGIPaed.pdf
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MD5: | f7a3a5096246185eca1e982e73e2d1b1 |
---|---|
Type of file: | Methods Report |
File size: | 147.88 KB |
Version number: | 2 |
Version date: | 2023-09-12 |
Language: | German / de |
Additional information about the file | Methodenbericht zur Studie |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2590
Other Title (type): Socioeconomic Data on Income (Mis-)
Abstract: This dataset is usually no longer distributed.
Please use the latest data set of the study (see "versions" below).
The SOECBIAS data set is an output of the interdiscip ... more
Abstract: This dataset is usually no longer distributed.
Please use the latest data set of the study (see "versions" below).
The SOECBIAS data set is an output of the interdiscip ... more
Availability: Restricted Access
Subject area: [Volkswirtschaftslehre [=] Soziologie]
Date(s) of Data Collection: 2020-03; 2020-03, 2020-06; 2020-07
Geographic coverage: [Deutschland / DE [=] Italien / IT [=] Polen / PL [=] Schweden / SE]
Temporal Research Design: cross-section, Longitudinal (panel study)
Primärforschende, Institution: Beblo, Miriam; Universität Hamburg, Bublitz, Elisabeth; Universität Hamburg, Jäger, Julian; Universität Hamburg, Lohmann, Henning; Universität Hamburg, Wang, Hequn; Universität Hamburg
Publication year: 2023
DOI: 10.7802/2772, 10.7802/2590
Study number: SDN-10.7802-2590
Project funder: Bundesministerium für Arbeit und Soziales
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2590
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 |
Downloads
- Datasets
- Questionnaires
- Methods report
- Other documents
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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soecbias_data_2020_w1_2_panel.dta
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MD5: | 6151728d94dcd7116d40b945bbc39270 |
---|---|
Type of file: | Research Data |
File size: | 15 MB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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SOECBIAS_Fragebogen_Haupterhebung_de.pdf
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MD5: | 725391d5eb214eaf092943c9d501b8fa |
---|---|
Type of file: | Questionnaire |
File size: | 587.34 KB |
SOECBIAS_Fragebogen_Nacherhebung_de.pdf
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MD5: | 31f8fdf58e48dc4a8ffec25a72eb2516 |
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Type of file: | Questionnaire |
File size: | 366.89 KB |
SOECBIAS_questionnaire_follow_up_survey_en.pdf
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MD5: | 0f776ebea77865ba885c138e4eb99965 |
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Type of file: | Questionnaire |
File size: | 354.13 KB |
SOECBIAS_questionnaire_main_survey_en.pdf
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MD5: | f6ea2c145a0c3bfce7252630534900af |
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Type of file: | Questionnaire |
File size: | 717.34 KB |
SOECBIAS_questionnaire_main_survey_screenshots_it.pdf
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MD5: | c64fe35b7331479f3e922b3d92de19e6 |
---|---|
Type of file: | Questionnaire |
File size: | 1.29 MB |
SOECBIAS_questionnaire_main_survey_screenshots_pl.pdf
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MD5: | c10625e71f4a2ac0078fbd1655c71180 |
---|---|
Type of file: | Questionnaire |
File size: | 1.36 MB |
SOECBIAS_questionnaire_main_survey_screenshots_se.pdf
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MD5: | 40fa8a0f53ac9ae5353fa30f4d0742a1 |
---|---|
Type of file: | Questionnaire |
File size: | 1.25 MB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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As soon as your request has been approved, you can log in and download the data here.
Downloads:
SOECBIAS_Method_report.pdf
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MD5: | 3c24822c945cc436dcc5529b468fd018 |
---|---|
Type of file: | Methods Report |
File size: | 600.96 KB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Information__ber_das_Einholen_einer_informierten_Einwilligung_I.pdf
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MD5: | 9db6c0de26e4192a77f0fa9bc50d269c |
---|---|
Type of file: | Other Documents |
File size: | 128.41 KB |
Information__ber_das_Einholen_einer_informierten_Einwilligung_II.pdf
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MD5: | ef26c809189aea80c79308af30a942dc |
---|---|
Type of file: | Other Documents |
File size: | 239.24 KB |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2632
Other Title (type): Code/Syntax: Dynamics of group identification and multiculturalistic attitudes in school networks (Parallel title)
Abstract: Wir untersuchen die Rolle zweier unterschiedlicher Formen sozialer Orientierung für die Integration in soziale Netzwerke. Zum einen ist die Identifikation mit dem Deutsch ... more
Abstract: Wir untersuchen die Rolle zweier unterschiedlicher Formen sozialer Orientierung für die Integration in soziale Netzwerke. Zum einen ist die Identifikation mit dem Deutsch ... more
Availability: Free access (with registration)
Subject area: [Sociology]
Notes: Für die Analysen wurden folgende Daten verwendet, die über GESIS beantragt werden können:
Kalter, Frank; Heath, Anthony F.; Hewstone, Miles; Jonsson, Jan O.; Kalmijn, Matthijs; Kogan, Irena; Tubergen, Frank van; (2017). Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU) - Reduzierte Version. Reduzierter Datenbestand zum Download und zur off-site Nutzung. GESIS Datenarchiv, Köln. ZA5656 Datenfile Version 3.3.0, https://doi.org/10.4232/cils4eu.5656.3.3.0.
Kalter, Frank; Heath, Anthony F.; Hewstone, Miles; Jonsson, Jan O.; Kalmijn, Matthijs; Kogan, Irena; Tubergen, Frank van; (2017). Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU) - Reduzierte Version. Reduzierter Datenbestand zum Download und zur off-site Nutzung. GESIS Datenarchiv, Köln. ZA5656 Datenfile Version 3.3.0, https://doi.org/10.4232/cils4eu.5656.3.3.0.
Primärforschende, Institution: Tran, Kien; Deutsches Zentrum für Integrations-und Migrationsforschung
Publication year: 2023
Study number: SDN-10.7802-2632
Contributor, Institution, Role: [Windzio, Michael; Universität Bremen (Researcher)]
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2632
Reference publication: Tran & Windzio (2024) Die Dynamik gruppenbezogener Identifikation und multikulturalistischer Einstellungen in Schulnetzwerken. SozW, 75 (2), 247 – 273. https://doi.org/10.5771/0038-6073-2024-2-247
Journal name: Soziale Welt
Journal volume: 75
Issue number: 2
Downloads
- Syntax file
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Tran_Datenaufbereitung_Cils4eu_welle1.do
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MD5: | 27bca21ad44a667cb724850bb90b5254 |
---|---|
Type of file: | Syntax |
File size: | 2.63 KB |
Software and Version | Stata 17 |
Tran_Datenaufbereitung_Cils4eu_welle2.do
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MD5: | 2c22358882e326d59e24b072361ad66d |
---|---|
Type of file: | Syntax |
File size: | 1.65 KB |
Software and Version | Stata 17 |
Tran_Datenaufbereitung_Cils4eu_welle3.do
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MD5: | 569e3d40384eca5f211abca98051444b |
---|---|
Type of file: | Syntax |
File size: | 1.51 KB |
Software and Version | Stata 17 |
Tran_Datensaetze_generieren.do
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MD5: | 485c144774b0a6d9f2d16519f3d94d70 |
---|---|
Type of file: | Syntax |
File size: | 2.82 KB |
Software and Version | Stata 17 |
Tran_SienaBayes_ident.R
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MD5: | 9caa2361767d1a7f1d04f4b498d09f7d |
---|---|
Type of file: | Syntax |
File size: | 12.38 KB |
Software and Version | R version 4.2.2 (2022-10-31 ucrt) |
Tran_SienaBayes_multikulti.R
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MD5: | f13e385d0990840a3ca972dc079816d4 |
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Type of file: | Syntax |
File size: | 11.89 KB |
Software and Version | R version 4.2.2 (2022-10-31 ucrt) |
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).
Downloads
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- Questionnaires
- Codebook
- Methods report
- Other documents
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KazMigr_data.csv
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MD5: | 773bffb692898162884539b5ba1a82ab |
---|---|
Type of file: | Research Data |
File size: | 21.5 MB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
Number of variables: | 1126 |
Number of units: | 400 |
Additional information about the file | 183,285 observations from 400 interviews resulting in 1126 variables; data are stored in a long format grouped by 14 variables. Text file (csv) with ";" used as separator. For factor variable codes see KazMigr_Survey_instrument&codebook.pdf. |
Geographical location - State, Country (according to ISO-3166): | Kazakhstan / KZ |
Geographical location - Region: | Rural areas of Akmola province, northern Kazakhstan |
Temporal research design: | Cross-section |
Selection Method: | Mixed probability and non-probability Sample |
Data collection mode: | Face-to-face interview:CAPI(Computer Assisted Personal Interview)/CAMI(Computer Assisted Mobile Interviews) |
Survey period: | 2017-06-01; 2017-08-31 |
KazMigr_data.dta
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MD5: | 52a2fb971dfad125c2a0d092d71190bf |
---|---|
Type of file: | Research Data |
File size: | 115.29 MB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
Number of variables: | 1126 |
Number of units: | 400 |
Software and Version | Stata 15 |
Additional information about the file | 183,285 observations in the 14-variable long-form data set reflect 1126 variables collected in 400 interviews. Stata file including English variable and value labels. |
Geographical location - State, Country (according to ISO-3166): | Kazakhstan / KZ |
Geographical location - Region: | Rural Areas in Akmola province, northern Kazakhstan |
Temporal research design: | Cross-section |
Selection Method: | Mixed probability and non-probability Sample |
Data collection mode: | Face-to-face interview:CAPI(Computer Assisted Personal Interview)/CAMI(Computer Assisted Mobile Interviews) |
Survey period: | 2017-06-01; 2017-08-31 |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Downloads:
KazMigr_Survey_instrument&codebook.pdf
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MD5: | 55b4e440019b51fa85c370ab6bd86477 |
---|---|
Type of file: | Questionnaire |
File size: | 527.93 KB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
Additional information about the file | English translation on the survey instument (which was applied in Kazahk or Russian). Numerical codes of factor variables indicated. |
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Downloads:
KazMigr_long_codebook.pdf
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MD5: | e4b81703b871e30a29f2898b437b5131 |
---|---|
Type of file: | Codebook |
File size: | 95.87 KB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
Additional information about the file | Codebook illustrating the structure of the long form data set. Via description of the variable Iqn1 the file indicates code numbers and variable labels of all 1126 original surveyed variables as well as the number of nonmissing values for each of these variables. |
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Downloads:
KazMigr_Sampling & data collection.pdf
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MD5: | e5efe0847a42aaa14e86886ba2b5b871 |
---|---|
Type of file: | Methods Report |
File size: | 79.73 KB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Downloads:
KazMigr_describe.pdf
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MD5: | 0c0c0202da06b5e2d87577d9ba0a0635 |
---|---|
Type of file: | Other Documents |
File size: | 209.89 KB |
Version number: | 1.0 |
Version date: | 2021-07-23 |
Language: | English / en |
Additional information about the file | Descriptive statistics of all 1126 variables of the original survey allowing to assess data density and univariate distributions. Presentation depends on the variable type: categorical variables: frequency tables, quantitative variables: summary statistics. |