2,481 to 2,490 of 2,542 Results
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
SAS Syntax - 4.4 KB -
MD5: 3210faebac1de916c4badd9c7bff8da3
SAS Application |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
R Syntax - 1.0 KB -
MD5: 77b7aea9eed0aee8e355375ed4ed2073
Exemplary analysis in R |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
SAS Syntax - 2.4 KB -
MD5: bd3595180028bcf512221f1e5721121c
Exemplary analysis in SAS |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
SPSS Syntax - 891 B -
MD5: 6081da258105ba36fa9bfb306349660f
Exemplary analysis in SPSS |
Unknown - 16.6 KB -
MD5: 1e698a587ff1a75e3ad9c6cc813fe7df
Core data file - compressed SPSS format - 28 Variables, 428 Observations |
SPSS Syntax - 11.2 KB -
MD5: 54f1c95feab00a5e7d2a948d5a472a3a
SPSS replication syntax |
Dec 20, 2018 -
Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data
Tabular Data - 64.4 KB - 12 Variables, 530 Observations - UNF:6:ig/vuGEsl4MRLs7fnDOXtg==
|
Dec 20, 2018 -
Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data
Unknown - 15.6 KB -
MD5: a173e4689ebd27ebf807872c543e4a67
Core data file - compressed SPSS format - 12 Variables, 530 Observations - English |
Dec 20, 2018 -
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)
Adobe PDF - 402.6 KB -
MD5: 14c6eae028436143dc0991fdb6089d4c
Method report and codebook |
Dec 20, 2018 -
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)
Tab-Delimited - 24.5 KB -
MD5: c7fdb7c63d1f99816b5985ed9302bf9b
Variable identifiers and descriptions - machine-readable German |