Afrobarometer Round 3.5: The Quality of Democracy and Governance in Nigeria, 2007 (ICPSR 36210)

Version Date: Apr 25, 2016 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
E. Gyimah-Boadi, Ghana Center for Democratic Development; Robert Mattes, University of Cape Town; Michael Bratton, Michigan State University; University of Nairobi. Institute for Development Studies

Series:

https://doi.org/10.3886/ICPSR36210.v1

Version V1

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The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economy, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Nigeria. The data were collected from a nationally representative sample in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, the 2007 survey in Nigeria collected opinions about corruption, presidential performance, violence and crime, the police, Nigerian political parties, the frequency with which bribes and threats played a role in elections, and the effectiveness of local and national governments. Demographic information collected includes respondent's age, gender, education level, poverty level, language, ethnicity, religious affiliation, and political party affiliation.

Gyimah-Boadi, E., Mattes, Robert, Bratton, Michael, and University of Nairobi. Institute for Development Studies. Afrobarometer Round 3.5: The Quality of Democracy and Governance in Nigeria, 2007. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2016-04-25. https://doi.org/10.3886/ICPSR36210.v1

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Inter-university Consortium for Political and Social Research
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2007-01 -- 2007-02
2007-01-19 -- 2007-02-02
  1. Additional information on the Afrobarometer Survey can be found by visiting the Afrobarometer Web site.

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The Afrobarometer uses a clustered, stratified, multi-stage, area probability sample design. The sample is designed as a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of selection for interview. This objective is reached by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1,200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 3 percent with a confidence level of 95 percent. If the sample size is increased to 2,400, the confidence interval shrinks to plus or minus 2 percent.

Cross-sectional

Persons aged 18 and older living in Nigeria.

individual
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2016-04-25

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Gyimah-Boadi, E., Robert Mattes, Michael Bratton, and University of Nairobi. Institute for Development Studies. Afrobarometer Round 3.5: The Quality of Democracy and Governance in Nigeria, 2007. ICPSR36210-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2016-04-25. http://doi.org/10.3886/ICPSR36210.v1

2016-04-25 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.
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The data are not weighted, however, this collection contains the weight variable WITHINWT, that should be used in any analysis. This weight was created to account for individual selection probabilities.

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Notes