Back to search results

QoG Expert Survey Data

SND-ID: ext0005-2.

Is part of collection at SND: Quality of Government

Access to data via

Associated documentation

Citation

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

... Show more..

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

University of Gothenburg, Quality of Government Institute

Show less..

Research principal

University of Gothenburg - Quality of Government Institute rorId

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. 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 aggr

... Show more..
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. Show less..

Data contains personal data

No

Language

Method and outcome

Unit of analysis

Population

Country Experts

Time Method

Sampling procedure

Non-probability
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

2008 – 2020

Data format / data structure

Data collection

Data collection 1

  • 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 2

  • 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 3

  • Mode of collection: Web-based interview
  • Time period(s) for data collection: 2010-06 – 2010-11
  • Source of the data: Population group, Geographic area
... Show more..

Data collection 1

  • 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 2

  • 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 3

  • 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 4

  • 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 5

  • Mode of collection: Web-based interview
  • Time period(s) for data collection: 2015 – 2015
  • Source of the data: Population group, Geographic area

Data collection 6

  • Mode of collection: Web-based interview
  • Time period(s) for data collection: 2019-12 – 2020-06
  • Source of the data: Population group, Geographic area
Show less..
Geographic coverage

Geographic spread

Geographic description: 117 countries in 6 continents for the Expert Survey 2020

Lowest geographic unit

Country

Highest geographic unit

Country

Administrative information

Responsible department/unit

Quality of Government Institute

Topic and keywords

Research area

Government, political systems and organisations (CESSDA Topic Classification)

Social sciences (Standard för svensk indelning av forskningsämnen 2011)

Political science (Standard för svensk indelning av forskningsämnen 2011)

Keywords

State control, Corruption, Data, Bureaucracy, Public administration, Government organizations

Publications

Is part of collection at SND