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QoG Expert Survey Data

SND-ID: EXT 0005

This study is part of the collection Quality of Government

Overview
Data and documentation

Creator/Principal investigator(s)

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

University of Gothenburg, Quality of Government Institute

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

Research principal, contributors, and funding

Research principal

University of Gothenburg

Responsible department/unit

Quality of Government Institute

Protection and ethical review

Data contains personal data

Method and time period

Unit of analysis

Geographic unit

Individual

Population

Country Experts

Time Method

Cross-section

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.

Time period(s) investigated

2008 – 2015

Geographic coverage

Geographic spread

Geographic description: 159 countries in 6 continents

Lowest geographic unit

Country

Topic and keywords

Research area

Government, political systems and organisations (CESSDA Topic Classification)
Social Sciences, Political Science (The Swedish standard of fields of research 2011)

Keywords

state control, corruption, data, bureaucracy, public administration, government organizations, political systems

Publications

Link to publication list:

Articles using QoG data

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Access to data via

Homepage

QOG - The Quality of Government Insitute

Contact

Stefan Dahlberg

Dataset 1

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

Data format / data structure

Numeric

Creator/Principal investigator(s)

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

University of Gothenburg, Quality of Government Institute

Keywords

state control, corruption, data, bureaucracy, public administration, government organizations

Time period(s) investigated

2008 – 2012

Data collection 1

Mode of collection: Web-based interview
Time period(s) for data collection: 2008-09–2009-05
Source of the data: Population group, Geographic area

Data collection 2

Mode of collection: Web-based interview
Time period(s) for data collection: 2008-09–2009-05
Source of the data: Population group, Geographic area

Data collection 3

Mode of collection: Web-based interview
Time period(s) for data collection: 2010-03–2010-11
Source of the data: Population group, Geographic area

Dataset 2

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.

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

Data format / data structure

Numeric

Creator/Principal investigator(s)

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

University of Gothenburg, Quality of Government Institute

Keywords

state control, corruption, data, bureaucracy, public administration, government organizations

Time period(s) investigated

2008 – 2015

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

Published: 2013-07-12

Last updated: 2019-12-13

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