RESEARCH CONSULTANT TO SCAN FOR ADDITIONAL DATA SOURCES FOR CORRUPTION PERCEPTIONS INDEX
Transparency International (TI) is the global civil society organisation leading the fight against corruption. Through more than 90 chapters worldwide and an international secretariat in Berlin, Germany, TI raises awareness of the damaging effects of corruption and works with partners in government, business and civil society to develop and implement effective measures to tackle it. TI’s Corruption Perceptions Index (CPI) is the most commonly used quantitative measure capturing the levels of perceived corruption at country level and was the first one to compare corruption globally on a systematic basis. The CPI brings together data from several independent surveys that capture corruption perceptions. Given the ever-expanding scope of international governance and corruption measurements, TI regularly undertakes a systematic scan of these measures for potential inclusion as data sources for the CPI.
We are looking for a Research Consultant to scan for existing measures, indicators, surveys, and assessments which measure corruption comparatively across a number of countries and could be included in the CPI. A particular focus should be placed on searching for non-public data sources due to the difficulty in identifying them via a simple internet search.
Design and deliver a comprehensive list of cross-country corruption measures not yet included in CPI, including (but not limited to) descriptive details on the methodology, country coverage, particularly strengths and weaknesses of each survey and including an assessment in terms of its appropriateness to be used as a source for the CPI.
The list is to be provided to Transparency International by 15 April 2016.
KNOWLEDGE, EXPERIENCE, SKILLS:
- Current/former post-graduate student in a social science programme with a focus on quantitative research
- Significant experience with handling quantitative indicators, survey data and quantitative research methods with a good understanding of index development
- Solid knowledge of international governance and corruption indicators
- Knowledge of both public and private producers of corruption data
- Ability to make informed judgement of data quality and applicability to index contribution
- Knowledge of the CPI and what it is measuring
- Interest and appreciation for corruption issues more broadly
- Skills in presenting data and analysis using excel and word.
Qualified candidates should submit the following via email:
- A cover letter indicating relevant experience
- A brief ½-page description on how the candidate would go ahead completing the assignment
- CV, including at least two references
All applications should be submitted to Santhosh Srinivasan at firstname.lastname@example.org