This study is part of the collection Quality of Government
Creator/Principal investigator(s)
University of Gothenburg, Quality of Government Institute
Jan Teorell
- Lund University, Department of Political Science
Carl Dahlström - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
Description
The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. Overall 30 researchers conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions.
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
The QoG Expert Survey is a unique dataset based on the QoG institution’s own web survey.1294 country experts from 159 countries have participated in the study. The data set contains information about the structure and behaviour of public administrations in a wide range of countries.
There are two datasets available for the QoG Expert Survey, one individual dataset and one aggregated dataset. In the individual set e
Subject area
Government, political systems and organisations
(CESSDA Topic Classification)
Social Sciences, Political Science
(The Swedish standard of fields of research 2011)
Principal organisation
Accessibility status
Responsible department/unit
University of Gothenburg, Quality of Government Institute
Creator/Principal investigator(s)
University of Gothenburg, Quality of Government Institute
Jan Teorell
- Lund University, Department of Political Science
Carl Dahlström - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
Identifiers
SND-ID: EXT 0005
Description
The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. Overall 30 researchers conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions.
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
The QoG Expert Survey is a unique dataset based on the QoG institution’s own web survey.1294 country experts from 159 countries have participated in the study. The data set contains information about the structure and behaviour of public administrations in a wide range of countries.
There are two datasets available for the QoG Expert Survey, one individual dataset and one aggregated dataset. In the individual set e
Time period(s) investigated
2008 — 2015
Geographic spread
Geographic description: 159 countries in 6 continents
Lowest geographic unit
Country
Unit of analysis
Population
Country Experts
Time Method
Sampling procedure
Subject area
Government, political systems and organisations
(CESSDA Topic Classification)
Social Sciences, Political Science
(The Swedish standard of fields of research 2011)
Keywords
Citation requirement
Is part of collection at SND
Link to publication list:
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Dataset 1
Creator/Principal investigator(s)
University of Gothenburg, Quality of Government Institute
Jan Teorell
- Lund University, Department of Political Science
Carl Dahlström - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
Description
A dataset based on QoG Expert Survey Data, each experts answers are presented individually.
The QoG Survey is a unique data set with information on the structure and behavior of public administration in a range of different countries. The data covers 159 countries and is based on a web survey of 1294 experts.
The dataset covers different dimensions of Quality of Government, such as, politicization, professionalization, openness, and impartiality.
The web survey is an ongoing project and data i
Keywords
Data format / data structure
Numeric
Data collection
Mode of collection: Web-based interview
Time period(s) for data collection: 2008-09 — 2009-05
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2008-09 — 2009-05
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2010-03 — 2010-11
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2014-04 — 2015-04
Source of the data: Population group, Geographic area
Time period(s) investigated
2008 — 2012
Dataset 2
Creator/Principal investigator(s)
University of Gothenburg, Quality of Government Institute
Jan Teorell
- Lund University, Department of Political Science
Carl Dahlström - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
Description
Keywords
Data format / data structure
Numeric
Data collection
Mode of collection: Web-based interview
Time period(s) for data collection: 2010-03 — 2010-11
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2010-06 — 2010-11
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2010-06 — 2010-11
Source of the data: Population group, Geographic area
Mode of collection: Web-based interview
Time period(s) for data collection: 2014-04 — 2015-04
Source of the data: Population group, Geographic area
Time period(s) investigated
2008 — 2015