Summary information

Study title

QoG Expert Survey Data

Creator

Nistotskaya, Marina (Department of Political Science, University of Gothenburg)
Dahlberg, Stefan (Department of Humanities and Social Sciences, Mid Sweden University)
Dahlström, Carl (Department of Political Science, University of Gothenburg)
Sundström, Aksel (Department of Political Science, University of Gothenburg)
Dalli, Cem Mert (Department of Political Science, University of Gothenburg)
Axelsson, Sofia (Department of Political Science, University of Gothenburg)
Alvarado Pachon, Natalia (Department of Political Science, University of Gothenburg)
Quality of Government Institute, University of Gothenburg

Study number / PID

ext0005-2-1 (SND)

Data access

Open

Series

Not available

Abstract

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.

Methodology

Data collection period

03/2010 - 11/2010

Country

Time dimension

Cross-section

Analysis unit

Geographic unit
Individual

Universe

Country Experts

Sampling procedure

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.
Non-probability

Kind of data

Not available

Data collection mode

Web-based interview
Web-based interview
Web-based interview
Web-based interview
Web-based interview
Web-based interview

Access

Publisher

Swedish National Data Service

Publication year

2013

Terms of data access

Access to data through an external actor. Data are freely accessible.

Related publications

Not available