AUSSDA

Metrics

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AUTNES

Statistik Austria

ASEP

SSÖ-ISSP

GGP

COVID-19 Pandemic

Teaching and Learning

GfK Austria

RECONNECT

Survey Methods: Insights from the Field

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5,421 to 5,430 of 5,998 Results

10060_vi_de_v2_0.tab Apr 24, 2020 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2013 (SUF edition) Tabular Data - 88.1 KB - 3 Variables, 1884 Observations - UNF:6:Kv3skbLhgyi5Tf557SESUg== Documentation Variable identifiers and descriptions - machine-readable (German)
10060_vi_en_v2_0.tab Apr 24, 2020 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2013 (SUF edition) Tabular Data - 71.3 KB - 3 Variables, 1907 Observations - UNF:6:5Ug8ioz1M9tVUq0jHRDkYQ== Documentation Variable identifiers and descriptions - machine-readable (English)
Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Apr 14, 2020 - Statistik Austria Statistics Austria, 2020, "Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)", https://doi.org/10.11587/XGE7TF, AUSSDA, V1, UNF:6:iiWmRPifZlTNAUTHd6w7Pw== [fileUNF] Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the Mi...
10706_da01_de_v1_0.tab Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Tabular Data - 89.0 MB - 152 Variables, 176195 Observations - UNF:6:9ZHLHUtlIppcXcWc8RHDKQ== DataSTATA Core annual data file, not imputed data (dg4e.mz2019j) - STATA format - 152 Variables, 176195 Observations
10706_da01_de_v1_0.zsav Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Unknown - 14.3 MB - MD5: 2a3e7c8fcdc772a13b6ed842eff85eea DataSPSS Core annual data file, not imputed data (dg4e.mz2019j) - compressed SPSS format - 152 Variables, 176195 Observations
10706_da02_de_v1_0.tab Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Tabular Data - 119.8 MB - 216 Variables, 176195 Observations - UNF:6:+Ihk+q1azTxviHPszUFGag== DataSTATA Core annual data file, imputed data & additional variables (dg8.mz2019j) - STATA format - 216 Variables, 176195 Observations
10706_da02_de_v1_0.zsav Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Unknown - 21.0 MB - MD5: aedc0f31f455ba1f0f576167b3660634 DataSPSS Core annual data file, imputed data & additional variables (dg8.mz2019j) - compressed SPSS format - 216 Variables, 176195 Observations
10706_im_de_v1_0.pdf Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Adobe PDF - 849.6 KB - MD5: 59fe3eaf2c33436bd756f4aa26019786 Documentation Interviewer manual
10706_mr01_de_v1_0.pdf Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Adobe PDF - 210.6 KB - MD5: 69a20a66eac661eccad9a07bc183add3 DocumentationMethod report Method report
10706_mr02_de_v1_0.pdf Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition) Adobe PDF - 223.6 KB - MD5: 3eeecfc44bac32171b33122379a903ad DocumentationMethod report Description of derived variables

10060_vi_de_v2_0.tab

Apr 24, 2020 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2013 (SUF edition)

Tabular Data - 88.1 KB - 3 Variables, 1884 Observations -

Documentation

Variable identifiers and descriptions - machine-readable (German)

10060_vi_en_v2_0.tab

Apr 24, 2020 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2013 (SUF edition)

Tabular Data - 71.3 KB - 3 Variables, 1907 Observations -

Documentation

Variable identifiers and descriptions - machine-readable (English)

Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Apr 14, 2020 - Statistik Austria

Statistics Austria, 2020, "Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)", https://doi.org/10.11587/XGE7TF, AUSSDA, V1, UNF:6:iiWmRPifZlTNAUTHd6w7Pw== [fileUNF]

Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the Mi...

10706_da01_de_v1_0.tab

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Tabular Data - 89.0 MB - 152 Variables, 176195 Observations -

DataSTATA

Core annual data file, not imputed data (dg4e.mz2019j) - STATA format - 152 Variables, 176195 Observations

10706_da01_de_v1_0.zsav

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Unknown - 14.3 MB -

DataSPSS

Core annual data file, not imputed data (dg4e.mz2019j) - compressed SPSS format - 152 Variables, 176195 Observations

10706_da02_de_v1_0.tab

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Tabular Data - 119.8 MB - 216 Variables, 176195 Observations -

DataSTATA

Core annual data file, imputed data & additional variables (dg8.mz2019j) - STATA format - 216 Variables, 176195 Observations

10706_da02_de_v1_0.zsav

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Unknown - 21.0 MB -

DataSPSS

Core annual data file, imputed data & additional variables (dg8.mz2019j) - compressed SPSS format - 216 Variables, 176195 Observations

10706_im_de_v1_0.pdf

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Adobe PDF - 849.6 KB -

Documentation

Interviewer manual

10706_mr01_de_v1_0.pdf

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Adobe PDF - 210.6 KB -

DocumentationMethod report

Method report

10706_mr02_de_v1_0.pdf

Apr 14, 2020 - Microcensus Labour Force Survey / Housing Survey 2019 (SUF edition)

Adobe PDF - 223.6 KB -

DocumentationMethod report

Description of derived variables

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