QoG Expert Survey Data
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. In the third wave of the study (2020), 996 country experts from 117 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 each expert answers are presented individually and in the aggregated dataset we have pooled the answers by country.
Previous versions of QoG Expert Survey Dataset can be found in the Data Archive of the QoG Institute.
A country-level dataset based on QoG Expert Survey Data, where IRT models are used to calculate country scores for each country with at least three respondents have been included.
Go to data source
Opens in a new tabhttps://doi.org/10.18157/qoges2020
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Marina Nistotskaya - University of Gothenburg - Department of Political Science
- Stefan Dahlberg - Mid Sweden University - Department of Humanities and Social Sciences
- Carl Dahlström - University of Gothenburg - Department of Political Science
- Aksel Sundström - University of Gothenburg - Department of Political Science
- Cem Mert Dalli - University of Gothenburg - Department of Political Science
- Sofia Axelsson - University of Gothenburg - Department of Political Science
- Natalia Alvarado Pachon - University of Gothenburg - Department of Political Science
Research principal:
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Country Experts
Time method:
Sampling procedure:
Description of sampling:
Generally the selection have been made by searching for respondents through international networks and national, regional and international organizations, on university web sites, searches on the internet and personal research contacts. Snowball sampling has also been used. The last wave of the expert survey (the QoG Expert Survey II) was carried out in 2020.
Time period(s) investigated:
Data format/data structure:
Data collections - 6 collections
Data collections - 6 collections
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2010-03 - 2010-11
Source of the data:
- Population group
- Geographic area
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2010-06 - 2010-11
Source of the data:
- Population group
- Geographic area
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2010-06 - 2010-11
Source of the data:
- Population group
- Geographic area
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2014-04 - 2015-04
Source of the data:
- Population group
- Geographic area
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2015 - 2015
Source of the data:
- Population group
- Geographic area
Data collection - Web-based interview
Data collection - Web-based interview
Mode of collection:
Web-based interview
Time period(s) for data collection:
2019-12 - 2020-06
Source of the data:
- Population group
- Geographic area
Geographic coverage
Geographic coverage
Geographic description:
117 countries in 6 continents for the Expert Survey 2020
Lowest geographic unit:
Country
Highest geographic unit:
Country
Administrative information
Administrative information
Responsible department/unit:
Quality of Government Institute
Topic and keywords
Topic and keywords
CESSDA Topic Classification:
Standard för svensk indelning av forskningsämnen 2025:
Relations
Relations
Related research data:
Metadata
Metadata
Version 1
