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Survey Methods: Insights from the Field

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5,731 to 5,740 of 5,876 Results

Replication Data for: Who is even studying journalism to become a journalist? Jan 16, 2019 - Public Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1 The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data col...
10028_da_en_v1_0.zsav Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? Unknown - 16.6 KB - MD5: 1e698a587ff1a75e3ad9c6cc813fe7df DataSPSS Core data file - compressed SPSS format - 28 Variables, 428 Observations
10028_sx_en_v1_0.sps Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? SPSS Syntax - 11.2 KB - MD5: 54f1c95feab00a5e7d2a948d5a472a3a Code SPSS replication syntax
Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Dec 20, 2018 - Survey Methods: Insights from the Field de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF] Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...
10034_da_en_v1_0.tab 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== Data
10034_da_en_v1_0.zsav 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 DataSPSS Core data file - compressed SPSS format - 12 Variables, 530 Observations - English
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Dec 20, 2018 - AUTNES Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)", https://doi.org/10.11587/IMKDZI, AUSSDA, V1, UNF:6:wbe2uytzaJ4+0AGKrK+bgA== [fileUNF] Full edition for scientific use. The survey is based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).
10013_da_de_v1_0.tab Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Tabular Data - 358.1 KB - 118 Variables, 1203 Observations - UNF:6:MDn8g2qc7zz17okG2i5zcQ== DataSTATA Core data file - STATA format - 118 Variables, 1203 Observations - German
10013_da_de_v1_0.zsav Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Unknown - 142.9 KB - MD5: d7c3917a3506d03a091876150f24e285 DataSPSS Core data file - compressed SPSS format - 118 Variables, 1203 Observations - German
10013_da_en_v1_0.dta Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Stata Binary - 426.2 KB - MD5: b368367caa264b600043b557259e29e7 DataSTATA Core data file - STATA format - 118 Variables, 1203 Observations - English

Replication Data for: Who is even studying journalism to become a journalist?

Jan 16, 2019 - Public

Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1

The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data col...

10028_da_en_v1_0.zsav

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

Unknown - 16.6 KB -

DataSPSS

Core data file - compressed SPSS format - 28 Variables, 428 Observations

10028_sx_en_v1_0.sps

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

SPSS Syntax - 11.2 KB -

Code

SPSS replication syntax

Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Dec 20, 2018 - Survey Methods: Insights from the Field

de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF]

Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...

10034_da_en_v1_0.tab

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 -

Data

10034_da_en_v1_0.zsav

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 -

DataSPSS

Core data file - compressed SPSS format - 12 Variables, 530 Observations - English

AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Dec 20, 2018 - AUTNES

Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)", https://doi.org/10.11587/IMKDZI, AUSSDA, V1, UNF:6:wbe2uytzaJ4+0AGKrK+bgA== [fileUNF]

Full edition for scientific use. The survey is based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).

10013_da_de_v1_0.tab

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Tabular Data - 358.1 KB - 118 Variables, 1203 Observations -

DataSTATA

Core data file - STATA format - 118 Variables, 1203 Observations - German

10013_da_de_v1_0.zsav

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Unknown - 142.9 KB -

DataSPSS

Core data file - compressed SPSS format - 118 Variables, 1203 Observations - German

10013_da_en_v1_0.dta

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Stata Binary - 426.2 KB -

DataSTATA

Core data file - STATA format - 118 Variables, 1203 Observations - English

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