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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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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2652
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, data quality, survey research, data capture, epidemic, comparison of methods, methodological research
Date(s) of Data Collection: 2022-09; 2023-05
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative surveys in the field of social sciences or health targeting large parts of the general population between March 1, 2020 and December 31, 2021 in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Glasenapp, Karolina von; GESIS - Leibniz-Institut für Sozialwissenschaften, Skora, Thomas; GESIS - Leibniz-Institut für Sozialwissenschaften, Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften, Naumann, Elias; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2652
Study number: SDN-10.7802-2652
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2652
Publications: Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x, Skora, Thomas, & von Glasenapp, Karolina (2024). Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656.
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SDCCP1_v1-0-0.csv
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MD5: | f065eeedc105b1ec7e9ac66a592f6845 |
---|---|
Type of file: | Research Data |
File size: | 882.28 KB |
Version number: | v1.0.0 |
Version date: | 2024-05-17 |
Number of variables: | 121 |
Number of units: | 717 |
Source | The selection of the study units is based on a systematic screening of various databases and sources (GESIS archive, CESSDA, ICPSR, survey list of the German Data Forum (RatSWD), research data centers) in accordance with predefined suitability criteria (see Universe). |
Related ID | https://doi.org/10.7802/2656 (This upload is supplemented by) |
SDCCP1_v1-0-0.dta
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MD5: | dbb6eed2a5d61e8924b62da6a82bfd4c |
---|---|
Type of file: | Research Data |
File size: | 7.92 MB |
Version number: | 1.0.0 |
Version date: | 2024-05-17 |
Number of variables: | 121 |
Number of units: | 717 |
Source | The selection of the study units is based on a systematic screening of various databases and sources (GESIS archive, CESSDA, ICPSR, survey list of the German Data Forum (RatSWD), research data centers) in accordance with predefined suitability criteria (see Universe). |
Software and Version | Stata |
Related ID | https://doi.org/10.7802/2656 (This upload is supplemented by) |
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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Codebook_SDCCP1.xlsx
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MD5: | aaa03dfd0082c40e06c0d7c11636ffd5 |
---|---|
Type of file: | Codebook |
File size: | 17.82 KB |
Version number: | v1.0.0 |
Version date: | 2024-05-17 |
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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readme.txt
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MD5: | 3be63caf2f3cbc5e8b3c3070393753ef |
---|---|
Type of file: | Other Documents |
File size: | 1.85 KB |
Version number: | v1.0.1 |
Version date: | 2024-06-13 |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2656
Abstract: The syntax code has the purpose of assessing interrater reliability for various variables based on a random 10% sample from all survey programs encoded in the dataset SDC ... more
Abstract: The syntax code has the purpose of assessing interrater reliability for various variables based on a random 10% sample from all survey programs encoded in the dataset SDC ... more
Availability: Free access (without registration)
Subject area: [Social Sciences]
Primärforschende, Institution: Skora, Thomas; GESIS Leibniz Institut für Sozialwissenschaften, von Glasenapp, Karolina; GESIS Leibniz Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2656
Study number: SDN-10.7802-2656
Project funder: Bundesministerium für Bildung und Forschung
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2656
Publications: Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x, Glasenapp, Karolina von, Skora, Thomas, Gummer, Tobias, & Naumann, Elias (2024). SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2652.
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codings_long.dta
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MD5: | 0f8b0d04b467bc409d1ace26fe897d3a |
---|---|
Type of file: | Research Data |
File size: | 121.91 KB |
Version number: | 1.0 |
Version date: | 2023-12-15 |
Related ID | https://doi.org/10.7802/2652 (This upload is supplement to) |
varlabels.dta
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MD5: | 376bdab71ce77cc4d776aae0a6306a2c |
---|---|
Type of file: | Research Data |
File size: | 9.31 KB |
Version number: | 1.0 |
Version date: | 2023-12-15 |
Purpose of use:
Downloads:
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Syntax_IRR.do
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MD5: | efb05418c9390b5d9bd76d3b898fc0cf |
---|---|
Type of file: | Syntax |
File size: | 13.34 KB |
Version number: | 1.0 |
Version date: | 2023-12-15 |
Downloads:
readme.txt
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MD5: | 32bc67dab0b8d0881495f3e91a0805a2 |
---|---|
Type of file: | Other Documents |
File size: | 1.82 KB |
Version number: | 1.0.1 |
Version date: | 2024-06-13 |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2759
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, epidemic, data quality, survey research, data capture, comparison of methods, methodological research, longitudinal study
Date(s) of Data Collection: 2022-09; 2024-03
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative longitudinal surveys in the field of social sciences or health targeting large parts of the general population with data collection before and during (i.e. between March 1, 2020 and December 31, 2021) the Covid-19 pandemic in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Skora, Thomas; GESIS, Glasenapp, Karolina von; GESIS, Gummer, Tobias; GESIS, Bartholomäus, Saskia; GESIS, Naumann, Elias; GESIS
Publication year: 2024
DOI: 10.7802/2759
Study number: SDN-10.7802-2759
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2759
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- Codebook
- Technical report
Purpose of use:
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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SDCCP2_v1-0-0.csv
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MD5: | 822685261c1df25a177b0c2ab6a84762 |
---|---|
Type of file: | Research Data |
File size: | 272.47 KB |
Language: | English / en |
Number of variables: | 83 |
Number of units: | 56 |
Source | SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic |
Related ID | https://doi.org/10.7802/2652 (This upload has part) |
Additional information about the file | The data set contains 280 observations (i.e. coding of individual waves/rounds) from a total of 56 survey(sub)programs. The CSV file offers an alternative data format for non-Stata users (content identical to SDCCP_v1-0-0.dta). |
SDCCP2_v1-0-0.dta
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MD5: | 263a34f9ddbb7d986edd95b7df8ad557 |
---|---|
Type of file: | Research Data |
File size: | 2.12 MB |
Language: | English / en |
Number of variables: | 86 |
Number of units: | 56 |
Source | SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic |
Software and Version | Stata |
Related ID | https://doi.org/10.7802/2652 (This upload has part) |
Additional information about the file | The data set contains 280 observations (i.e. coding of individual waves/rounds) from a total of 56 survey(sub)programs. |
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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Codebook_SDCCP2.xlsx
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MD5: | d93fb9d63005e1234d163e44d870ff74 |
---|---|
Type of file: | Codebook |
File size: | 17.4 KB |
Additional information about the file | The codebook contains information on variable names, variable labels, variable types, applied filter conditions, value labels and general notes. |
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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readme.txt
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MD5: | 43cda5d2d8d2f17966bf58d88e5f6c94 |
---|---|
Type of file: | Technical Report |
File size: | 4.25 KB |
Language: | English / en |
Additional information about the file | The readme file provides basic information on the methodological procedure and instructions for using the data set. |
Batzdorfer, Veronika; Zenk-Möltgen, Wolfgang; Young, LauraKatsanidou, Alexia; Breuer, Johannes; Bishop, Libby
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2721
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Availability: Free access (with registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Soziologie [=] Medizinsoziologie [=] Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie]
Topics: Open science, social science, health, data access, epidemic, data quality, data capture, data collection method, methodological research, comparison of methods
Date(s) of Data Collection: 2019; 2023
Geographic coverage (free): [Global]
Universe: Scientific journal articles, covering COVID-19 and social sciences, with associated data
Sampling Procedure: Non-probability Sample - Availability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Field observation
Primärforschende, Institution: Batzdorfer, Veronika; KIT-Karlsruhe Institute of Technology, Zenk-Möltgen, Wolfgang; GESIS - Leibniz Institute for the Social Sciences, Young, Laura; University of Mannheim, Katsanidou, Alexia; GESIS - Leibniz Institute for the Social Sciences, Breuer, Johannes; GESIS - Leibniz Institute for the Social Sciences, Bishop, Libby; GESIS - Leibniz Institute for the Social Sciences
Publication year: 2024
DOI: 10.7802/2721
Study number: SDN-10.7802-2721
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2721
Version history:
Version number | Changes in this version |
---|---|
1.0.0 (aktuelle Version) | 2024-05-30 https://doi.org/10.7802/2721 |
Publications: Batzdorfer, Veronika, Wolfgang Zenk-Möltgen, Laura Young, Alexia Katsanidou, Johannes Breuer, and Libby Bishop. 2024. "Between urgency and data quality: assessing the FAIRness of data in social science research on the COVID-19 pandemic." Research Ethics. https://doi.org/10.1177/17470161241257575.
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- Syntax file
- Other documents
Purpose of use:
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Working_File_merged.xlsx
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MD5: | a730afd40861f1c51ecccdeb2abb190b |
---|---|
Type of file: | Research Data |
File size: | 26.19 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Number of variables: | 25 |
Number of units: | 51 |
Software and Version | MS Excel |
Additional information about the file | Excel file with the coding information |
combined_article_data_flat2.csv
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MD5: | 3063d319d482dc2ab51ccf23dbdc799d |
---|---|
Type of file: | Research Data |
File size: | 136.86 KB |
Version number: | 1 |
Version date: | 2024-05-30 |
Language: | English / en |
Number of variables: | 102 |
Number of units: | 98 |
Software and Version | CSV |
Additional information about the file | CSV file with the article information |
Purpose of use:
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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00_create_datafile.do
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MD5: | b716e91aeb2be3e8ccf8e23cd8437160 |
---|---|
Type of file: | Syntax |
File size: | 9.3 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Software and Version | Stata (version 18) |
Additional information about the file | Stata do file to create the analysis dataset |
01_replication.do
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MD5: | e1da23341ccb999762c2da2136f60e4a |
---|---|
Type of file: | Syntax |
File size: | 9.57 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Software and Version | Stata (version 18) |
Additional information about the file | Stata do file for the replication analysis |
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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00_create_datafile.log
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MD5: | 0a9b224bdfb3ce664b0fd5e7dffcf888 |
---|---|
Type of file: | Other Documents |
File size: | 29.96 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Software and Version | Stata (version 18) |
Additional information about the file | Log file |
01_replication.log
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MD5: | 21597e06551591292289cb9706f09f20 |
---|---|
Type of file: | Other Documents |
File size: | 92.02 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Software and Version | Stata (version 18) |
Additional information about the file | Log file with analysis results |
Readme.txt
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MD5: | 47589d2fcb6993e8593f3817ac3144c3 |
---|---|
Type of file: | Other Documents |
File size: | 1.71 KB |
Version number: | 1 |
Version date: | 2024-05-17 |
Language: | English / en |
Additional information about the file | Readme with instructions |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2775
Abstract: Mit der veröffentlichten Stata-Syntaxdatei (Do-File) können die im zitierten Artikel (Referenzpublikation) berichteten Ergebnisse repliziert werden.
Zur Replikation der ... more
Abstract: Mit der veröffentlichten Stata-Syntaxdatei (Do-File) können die im zitierten Artikel (Referenzpublikation) berichteten Ergebnisse repliziert werden.
Zur Replikation der ... more
Availability: Free access (with registration)
Topics: diversity, measurement, methodological research, gender, data quality, data acquisition, quantitative method, empirical social research
Primärforschende, Institution: de Vries, Lisa; Deutsches Institut für Erwachsenenbildung, Fischer, Mirjam; HU Berlin, David, Kasprowski; HU Berlin
Publication year: 2024
DOI: 10.7802/2775
Study number: SDN-10.7802-2775
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2775
Publications: Fischer, M.M., M. Kroh, L. de Vries, D. Kasprowski, S. Kühne, D. Richter & Z. Zindel, 2022: Sexual and Gender Minority (SGM) Research Meets Household Panel Surveys: Research Potentials of the German Socio-Economic Panel and Its Boost Sample of SGM Households. European Sociological Review 38: 321–335. https://doi.org/10.1093/esr/jcab050, de Vries, L., M.M. Fischer, M. Kroh, S. Kühne & D. Richter, 2021: SOEP-Core – 2019: Design, Nonresponse, and Weighting in the Sample Q (Queer). SOEP Survey Papers: Series C - Survey Papers 940. https://www.diw.de/documents/publikationen/73/diw_01.c.818176.de/diw_ssp0940.pdf, Zindel, Z., S. Kühne, L. de Vries & M. Kroh, 2023a: LGBielefeld 2019. Data Report: Online Survey on LGBTQI* People in Germany. https://doi.org/10.4119/unibi/2964218, Zindel, Z., S. Kühne, L. de Vries, M. Kroh, D. Kasprowski, M.M. Fischer & D. Richter, 2023b: LGBielefeld 2021. Data Report: Online Survey on LGBTQI* People in Germany. https://doi.org/10.4119/unibi/2964217
Reference publication: de Vries, L., Fischer, M. & Kasprowski, D. (2024). „männlich“, „weiblich“, „divers“ – Eine kritische Auseinandersetzung mit der Erhebung von Geschlecht in der quantitativ-empirischen Sozialforschung. Zeitschrift für Soziologie, 53(4), 364-386. https://doi.org/10.1515/zfsoz-2024-2029
Journal name: Zeitschrift für Soziologie
Journal volume: 53
Issue number: 4
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Purpose of use:
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de_Vries_et_al_syntax.do
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MD5: | 6dbb602099a6cd0bfa1deb5a53c1e4f8 |
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Type of file: | Syntax |
File size: | 27.35 KB |
Language: | German / de |
Software and Version | Stata |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2493
Other Title (type): Replikationsmaterial (Subtitle)
Abstract: Im Vergleich zu Umfragen an Wahrscheinlichkeitsstichproben bieten Umfragen an Access-Panels, die auf Nicht-Wahrscheinlichkeitsstichproben basieren, unbestreitbare wirtsch ... more
Abstract: Im Vergleich zu Umfragen an Wahrscheinlichkeitsstichproben bieten Umfragen an Access-Panels, die auf Nicht-Wahrscheinlichkeitsstichproben basieren, unbestreitbare wirtsch ... more
Availability: Free access (without registration)
Subject area: [Sociology]
Topics: methodological research, sample, data quality, survey research, opinion research, mathematical modeling
Primärforschende, Institution: Kohler, Ulrich; Universität Potsdam, Fakultät für Wirtschafts- und Sozialwissenschaften
Publication year: 2023
DOI: 10.7802/2493
Study number: SDN-10.7802-2493
Contributor, Institution, Role: [Post, Julia C.; Universität Potsdam, Fakultät für Wirtschafts- und Sozialwissenschaften (Data Collector)]
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2493
Reference publication: Kohler, U. & Post, J. (2023). Welcher Zweck heiligt die Mittel? Bemerkungen zur Repräsentativitätsdebatte in der Meinungsforschung. Zeitschrift für Soziologie, 52(1), 67-88. https://doi.org/10.1515/zfsoz-2023-2001
Journal name: Zeitschrift für Soziologie
Journal volume: 52
Issue number: 1
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wzhm_gr01_vark.do
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MD5: | 31e29d82c885614a9ae780c4dd54ea2e |
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Type of file: | Syntax |
File size: | 750 B |
Software and Version | Stata 16 |
Additional information about the file | Dieser Stata Do-File erzeugt Abbildung 5 des Artikels "Welcher Zweck heiligt die Mittel?", ZfS 52(1). |
wzhm_gr02V2_vark.do
Zusätzliche Angaben zu der Datei show
Zusätzliche Angaben zu der Datei show
MD5: | 82814a61626c696971e2db3e2c76d1ee |
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Type of file: | Syntax |
File size: | 939 B |
Software and Version | Stata 16 |
Additional information about the file | Dieser Stata Do-File erzeugt Abbildung 5 des Artikels "Welcher Zweck heiligt die Mittel?", ZfS 52(1). |
wzhm_gr03V3_ypi.do
Zusätzliche Angaben zu der Datei show
Zusätzliche Angaben zu der Datei show
MD5: | 1f29df2633687884ad99cbf39617476b |
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Type of file: | Syntax |
File size: | 1.49 KB |
Software and Version | Stata 16 |
Additional information about the file | Dieser Stata Do-File erzeugt Abbildung 8 des Artikels "Welcher Zweck heiligt die Mittel?", ZfS 52(1). |
wzhm_sharedlib.do
Zusätzliche Angaben zu der Datei show
Zusätzliche Angaben zu der Datei show
MD5: | 3038661c0d5e774a37d4114772d7e0b1 |
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Type of file: | Syntax |
File size: | 1.3 KB |
Software and Version | Stata 16 |
Additional information about the file | Dieser Do-File legt grundsätzliche Parameter der Umgebung für die anderen Do-Files des Projektes fest und installiert benutzerdefinierte Programme. Der Do-File wird von allen Do-Files des Projektes aufgerufen. Er muss im Arbeitsverzeichnis abgelegt sein. |