QoG Expert Survey Data

Creator/Principal investigator(s):

Jan Teorell - Lund University, Department of Political Science orcid

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

... Show more..

Creator/Principal investigator(s):

Jan Teorell - Lund University, Department of Political Science orcid

Carl Dahlström - University of Gothenburg, Department of Political Science

Stefan Dahlberg - University of Gothenburg, Department of Political Science

Identifiers:

SND-ID: EXT 0005

Purpose:

The aim of QoG Expert Survey dataset is to measure the structure and behaviour of public administration across countries.

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

... Show more..

Time period(s) investigated:

2008 — 2015

Geographic spread:

Geographic description: 159 countries in 6 continents

Lowest geographic unit:

Country

Population:

Country Experts

Time Method:

Sampling procedure:

Non-probability
There have been three waves for the QoG Expert Survey I (excluding pilot survey). 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.
A new wave of the expert survey (the QoG Expert Survey II) was carried out in 2014.

Citation requirement:

Dahlström, Carl, Jan Teorell, Stefan Dahlberg, Felix Hartmann, Annika Lindberg, and Marina Nistotskaya. 2015. The QoG Expert Survey Dataset II. University of Gothenburg: The Quality of Government Institute

Contact person for questions about the data:

Stefan Dahlberg

Publications

Link to publication list:

If you have published anything based on these data, please notify us with a reference to your publication(s).

Dataset EXT 0005-001

The QoG Survey Individual-Level Survey Data

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

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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 EXT 0005-002

The QoG Survey Country-Level Survey Data

Description:

A country-level dataset based on QoG Expert Survey Data, where the mean across experts for each county with least three respondents have been included.

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