African Peer Review Mechanism Survey 2006, First Round
Nigeria, 2006
Get MicrodataIdentification
NGA_2006_APRM_v01_M
African Peer Review Mechanism Survey 2006
First Round
| Name | Country code |
|---|---|
| Nigeria | NGA |
Statistical Info. & Monitoring Prog. [hh/simpoc]
The African Peer Review Mechanism Survey Round 1 (2006) is the first round of APRM surveys, conducted in the country. APRM survey are designed by National Bureau of Statistics (NBS).
The African Peer Review Mechanism Survey APRM (2006) are designed by National Bureau of Statistics (NBS). The survey is a programme of the New Partnership for Africa's Development (NEPAD) for fostering good governance in Africa countries. It is basically a mutually adopted instrument for self-monitoring by African countries, using agreed African and international standards. The peer review process is designed to enthrone and deepen good governance in the continent. Each country is expected to carry out a self-assessment of its performance on four thematic areas of APRM, which are:
(a) Democracy and Political Governance
(b) Economic Governance and Management
(c) Socio-economic Development
(d) Corporate Governance.
Sample survey data [ssd]
Household and Individual analysis.
Version
Version 01 - Edited, anonymous dataset for public distribution.
2008-09-19
version 1.0 - Data set for generating tables and report .
version 1.1 - Further editing of the data, for external use only no table nor report was generated.
Scope
The scope of the survey covered the four thematic areas mentioned above. Demographic information were also collected from the respondents and other members of their household. The Household section gives information about members who usally live in the household. The Individual section gives information on socio-economic development.
| Topic | Vocabulary | URI |
|---|---|---|
| economic policy [1.3] | CESSDA | http://www.nesstar.org/rdf/common |
| rural economics [1.6] | CESSDA | http://www.nesstar.org/rdf/common |
| unemployment [3.5] | CESSDA | http://www.nesstar.org/rdf/common |
| conflict, security and peace [4.1] | CESSDA | http://www.nesstar.org/rdf/common |
| domestic political issues [4.2] | CESSDA | http://www.nesstar.org/rdf/common |
| elections [4.3] | CESSDA | http://www.nesstar.org/rdf/common |
| government, political systems and organisations [4.4] | CESSDA | http://www.nesstar.org/rdf/common |
| mass political behaviour, attitudes/opinion [4.6] | CESSDA | http://www.nesstar.org/rdf/common |
| political ideology [4.7] | CESSDA | http://www.nesstar.org/rdf/common |
| law enforcement [5.2] | CESSDA | http://www.nesstar.org/rdf/common |
| crime [5.1] | CESSDA | http://www.nesstar.org/rdf/common |
| legal systems [5.3] | CESSDA | http://www.nesstar.org/rdf/common |
| legislation [5.4] | CESSDA | http://www.nesstar.org/rdf/common |
| basic skills education [6.1] | CESSDA | http://www.nesstar.org/rdf/common |
| housing [10.1] | CESSDA | http://www.nesstar.org/rdf/common |
| gender and gender roles [12.6] | CESSDA | http://www.nesstar.org/rdf/common |
| youth [12.10] | CESSDA | http://www.nesstar.org/rdf/common |
| community, urban and rural life [13.1] | CESSDA | http://www.nesstar.org/rdf/common |
| social welfare policy [15.1] | CESSDA | http://www.nesstar.org/rdf/common |
| specific social services: use and provision [15.3] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National
Zone
State
Senatorial district
The survey covered all household members (usual residents) starting with name of household head.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statitics(NBS) | Federal Government of Nigeria(FGN) |
| Name | Affiliation | Role |
|---|---|---|
| Field services and methodology department, Censusess and Survey Department | NBS | Questionnaire design |
| Field services and methodology department | NBS(HQ) | Sampling and Selection |
| Field services and methodology department | NBS(All state) | Data collection |
| Computer management and servises | NBS(Zonal HQ) | Data Entry |
| Computer management and servises | NBS(HQ) | Data Processing |
| Computer management and servises | NBS(HQ) | Data Analysis |
| Name | Role |
|---|---|
| National Bureau of Statitics | Funding |
| New Partnership for African’s Development (NEPAD) | Funding |
| National Focal Point Secretariat | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Amb. Aluko | APRM | Coordinator |
| Prof. Roberts | NISER | Consultant |
| Mr Ekujimi | NBS | Consultant |
| Prof. Gboyega | ECA | Consultant |
Sampling
The survey covered all thirty-six states of the federation and FCT, Abuja. Both Urban and Rural areas were covered in each state. Three Local Government Areas (LGAs) were selected in each state as well as FCT, Abuja. One LGA was selected from the senatorial districts where the state capital is located. The other two LGAs were selected from the remaining senatorial districts. The selection of the 2 LGAs was based on remoteness from the state capital or on ecological factors e.g upland or riverine areas of the state. Ten Enumeration Areas (EAs) were selected per LGA making a total of 30 EAs per state. In each EA 20 households were covered. Thus, at national level, a total of 1,110 EAs and 22,200 households were covered.
The sample size from the State to the household level was as follows:
- 3 Senatorial Districts/ LGAs were selected in each State plus the FCT, Abuja.
- 110 LGAs were selected nationwide
- 10 EAs were selected from each LGA
- 1,110 EAs were selected nationwide
- 20 Households were scientifically selected from each EA.
- 600 Households were scientifically selected from each State plus the FCT, Abuja
- 22,200 Households were scientifically selected nationwide
Out of 20 persons interviewed in an EA, 8 persons were male headed/Adult households, 7 persons were female headed/Adult households and 5-unmarried youth (18-24years). The breakdown of the youths respondents were 2 males and 3 females.
At the EA level, 1094 EAs were studied out of 1,110 EAs expected to be covered. Out of 22,200 Households expected to be covered, 21,808 were actualy canvassed.
No deviation
Twenty two thousand and two hundred (22,200) questionnaires were distributed nationwide with 600 questionnaires per State plus the FCT, Abuja. The retrieval rate was 100 percent in most States except in the following States: Lagos (499 i.e 83 percent); Rivers (532 i.e. 89 percent); Kogi (540 i.e. 90 percent); Bayelsa (571 i.e. 95 percent); Cross River, Enugu, Gombe, Nasarawa, Ogun ( 580 i.e. 97 percent); Imo (587 i.e. 98 percent); FCT, Abuja (591 i.e. 98.5 percent); Ondo (594 i.e 99 percent); and Kwara (595 i.e. 99 percent). On the whole, 21,808 (i.e. 98.23 percent) questionnaires were retrieved and analyzed. See the attached table. On the basis of geo-political zone, only the North West zone had 100 percent returns Others ranged from 96 percent (South West) to 99 percent (North East and South East).
Summary of Sample Achieved
Numeration Area (EA) Households (HHs)
S/No Zone no. of State Expected Achieved Response Rate (%) Expected Achieved Response Rate (%)
1 NW 7 210 210 100 4200 4200 100
2 NE 6 180 179 99 3600 3580 99
3 NC 7 210 206 98 4200 4106 98
4 SW 6 180 176 98 3600 3472 96
5 SS 6 180 174 97 3600 3483 97
6 SE 5 150 149 99 3000 2967 99
National 37 1,110 1,094 99 22,200 21,808 98
The formula adopted in calculating the design weights for the survey data (sample results) were as follows:
(i) The probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a
state by total number of EAs in that particular state. Let this be represented by fj. That is,
fj = (Total Number of EAs sampled in a state)/(Total Number of EAs in that particular State)
(ii) Likewise, the probability of selecting an housing unit (HU) within an EA was obtained by dividing the total number
of housing units selected in an EA by the total number of housing units (HUs) listed in that particular EA. Let this be
represented by fk. That is,
fk = (Total Number of HUs selected in an EA)/(Total Number of HUs listed in that particular EA)
Then the product (fj) x (fk) represented by f is the sampling fraction for each of the corresponding study unit (Enumeration Area) for all the 1,110 EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. The inverse of the sampling fraction is known as the design weight and was applied accordingly to all the study units.
Mathematically,
Design weight = ((Total number of EAs in a state)/(Total number of EAs sampled in that particular state)) X ((Total Number of HUs listed in an EA)/(Total Number of HUs selected in that particular EA))
The above value was obtained for each of the 1,110 EAs canvassed throughout the 36 states of the Federation and FCT, Abuja. Thereafter, adjustment factors were applied to adjust for the non-responses.
Survey instrument
The household questionnaires were structured question based on general Knowledge about the APRM.
While the Individual questionnaires were structured question on about four thematic with different objective.
The First Thematic Socio-Economic Development has six objectives:
Objective 1: Promotion of Self-Reliance and Sustainable Development.
Objective 2: Accelerating Socio-Economic Development.
Objective 3: Strengthening Policies and Delivery Mechanism.NCE AND ANAGEMENT
Objective 4: Ensuring Affordable Access to Water, Sanitation,Energy and Finance.
Objective 5: Progress Towards Gender Equality.
Objective 6: Promote and Encourage Broad based participation in Development by all Stakeholders at all Levels.
The Second Thematic Economic Governance and Management has five objectives:
Objective 1: Promotion of Macro-Economic Policies for Sustainable Development.
Objective 2: Implementation of Sound, Transparent and predictable Micro-Economic Policies.
Objective 3: Promotion of Sound Public Finance Management.
Objective 4: Fighting Corruption and Money Laundering.
Objective 5: Accelerating Regional Integration
The Third Thematic Corporate Governance has three objectives:
Objective 1: Promotion of Enabling Environment and Effective Regulatory Framework for Economic Activities
Objective 2: Corporate Social Responsibility and Environmental Sustainability
Objective 3: Promoting the Adoption of Good Business Ethics
The Four Thematic Corporate Governance has nine objectives:
Objective 1: Prevention and Reduction of Intra- and Inter-State Conflicts
Objective 2: Constitutional Democracy, Political Competition, the Ruleof Law, Citizen Rights and Supremacy of the Constitution
Objective 3: Promotion and Protection of Political, Civil, Economic, Social and Cultural Rights
Objective 4: Separation of Powers and Protection of the Independence of the Judiciary and Legislature
Objective 5: Accountable, Efficient and Effective Public/Civil Service
Objective 6: Fighting Corruption in the Political Sphere.
Objective 7: Promotion and Protection of the Rights of Women.
Objective 8: Promotion and Protection of the Rights of Children and Young Persons.
Objective 9: Promotion and Protection of the Rights Of Vulnerable Groups.
All questionnaires and modules are provided as external resources.
Data collection
| Start | End |
|---|---|
| 2006-09-14 | 2006-09-25 |
| Name | Affiliation |
|---|---|
| National Bureau of Statitics | Federal Government of Nigeria(FGN) |
A roving team of 12 interviewers and 3 supervisors per state were used. A supervisor supervises 2 teams comprising of four enumerators. 3 LGAs were canvassed for per state. 5 Housing Units/Households/persons would be covered by an interviewer in each EA. Training of interviewers and supervisors carried out by competent Headquarters' senior staff. Close supervision in the field by state officers, zonal controllers and monitoring officers from the Headquarters. After 5 days of data collection, 6 monitoring officers from the Headquarters would visit the 6 zonal officers. To monitor and quality check the available records. To bring the completed records to Abuja Headquarters. Also monitoring the data collection are staff of APRM and NOA.
The pretest survey was designed and actually covered six States of the federation, with one State from each of the six geo-political zones. Specifically, the States selected were Plateau (North Central), Borno (North East), Kaduna (North West), Enugu (South East), Cross River (South South) and Oyo (South West). The sample size was small. Only one LGA was selected in each of the six States that fell into the sample. With the sample design explained above, only 20 households were canvassed for information in each selected State/LGA and 120 households nationwide.
In the process of collecting the data, two teams of two Enumerators and a Supervisor formed a roving team that covered each LGA. A team worked in each sector. Other personnel that participated in the pretest were the Training Officers from the headquarters, the State Officer and the Zonal Controller. The pretest was monitored by APRM Thematic Coordinators.
At the end of the pretest, it was evident that some of the questions had to be reframed and some technical terms broken down into simpler language for easy understanding and interpretation. The questionnaire itself took an average of three and half to four hours to administer. The MHS questionnaire was found out to be very bulky and it was like conducting four (4) surveys in one because all the four Thematic Areas were contained in one questionnaire. NBS technical staffs were mandated to review the questionnaire along with APRM Thematic Coordinators who provided the needed technical support before embarking on the main survey.
Main Survey
The Mass Household Survey covered all the 36 States of the Federation and the F.C.T, Abuja. As explained above in the survey design, 3 LGAs/ 30 EAs were selected in each State. Six hundred (600) households were canvassed for information in each State plus the F.C.T, Abuja with 200 households per LGA. Twelve (12) Interviewers/Enumerators of six roving teams with three (3) Supervisors worked in each State and the F.C.T, Abuja. A supervisor covered two teams of four Interviewers/Enumerators. On the whole, four hundred and forty four (444) Interviewers/ Enumerators plus one hundred and eleven (111) Supervisors were engaged for the field exercise nationwide. Each team covered five (5) EAs and the data collection was completed in twelve (12) days.
The Mass Household Survey was closely monitored by APRM Team of Monitors led by the National Coordinator of APRM, National Orientation Agency (NOA) in all the thirty (36) States plus the F.C.T; Abuja and NBS team of monitors. NOA came in at the instance of APRM. The Senior Staff of NBS comprising Headquarters Staff, Zonal Coordinators, State Officers and Principals of NBS Training Schools formed the internal supervisory and monitoring team.
Data processing
The collected data will first be checked manually by a team of editors at the Zone. The same team of editors will do the coding before entry to ensure that all entries are accurate, consistent and the questionnaire is ready for processing. A data entry screen was developed using Cspro software. This data management software have in-built range checks that format and correct skip or filter errors at the point of entry. The data were merged at the HQ where structural checking of SPSS were done on the data set before generating tables.
The massiveness of the questionnaire and the size of the sample (22,200) informed NBS to resolve into taking the following decisions:
i. Hiring of additional external hands.
ii. Putting trained personnel on 60 computers to do data entry at the headquarters and two zones Kaduna and Ibadan.
iii. Co-opting members of staff from other Departments/ Units like Censuses and Surveys, Corporate Planning and Technical Coordination, Field Services and Methodology, and Prices unit to join hands with the staff of Computer Management and Information Services for the data entry.
iv. Carrying questionnaires of 10 States each to Zonal Offices at Kaduna, Ibadan and HQ for data entry.
The data entry did not end until 6th November 2006.
Data appraisal
A series of data quality tables and graphs are available to review the quality of the data on the following:
i Age and Sex Distribution of Persons
ii. Distribution by relationship to head of the household
iii. Marital Status
iv. Education
v. Employment Status
vi. Occupation
vii. Institutional sector and
viii. Religion
Access policy
National Bureau of Statistics (NBS)
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| NBS | Fedral Government of Nigeria (FGN) | http://www.nigerianstat.gov.ng | feedback@nigerianstat.gov.ng |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The confidentiality of the individual respondent is protected by law (Statistical Act 2007) This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act. |
Public use files
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The National Bureau of Statistics. African Peer Review Mechanism Survey (APRM) 2006, Round 1, Ref. NGA_2006_APRM_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
(c) 2007, NBS
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Fedral Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI_NGA_2006_APRM_v01_M
| Name | Affiliation | Role |
|---|---|---|
| National Bureau of Statitics | Fedral Government of Nigeria (FGN) | Data Producers |
2020-09-10
Metadata version
Version 01 (September 2020) is identical to study DDI found on www.nigerianstat.gov.ng, except study IDs have been changed to correspond with World Bank standards and minor grammatical edits were made to various fields.