KEN_2010_CKDAP_v01_M
Central Kenya Dry Area Smallholder and Community Services Development Project 2010
Name | Country code |
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Kenya | KEN |
Service Provision Assessments [hh/spa]
The 2010 CKDAP-Household Impact Survey was designed to assess the impact of the implementation of Central Kenya Dry Area Smallholder Community Services Development Project (CKDAP) at the end of the closing date of 31st December 2010. The survey collected data on various indicators notably demographics, housing characteristics, household expenditure, primary health care, food security, general agriculture, crop production, income generating activities and savings. The primary objective of the 2010 CKDAP -Household Impact Survey (HIS) was to establish the extent to which the project’s objectives have been met over the 9 years of implementation, as well as capture crucial lessons learnt to be incorporated in the Project Completion Report (PCR). The overall goal of the CKDAP was to reduce poverty and vulnerability to diseases of the poor rural communities in the project areas and improve the well-being of target population groups.
Sample survey data [ssd]
Household, Individual
The study obtained very comprehensive information on household demographic and housing characteristics, household expenditures, water and sanitation, health care, HIV/AIDS, agriculture and livestock production, food security, savings and income generating opportunities, and group development.
Topic | Vocabulary |
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Health | World Bank |
Impact Evaluation | World Bank |
The CKDAP project was implemented in selected arid and semi-arid pockets in five larger districts of Central Province
The CKDAP project was implemented in selected arid and semi-arid pockets in five larger districts of Central Province namely: Nyandarua, Nyeri, Kirinyaga, Maragua and Thika.
Name | Affiliation |
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Kenya National Bureau of Statistics | Ministry of Planning and National Development |
Name | Role |
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National Coordinating Agency for Population and Development | Financial support |
Central Kenya Dry Area, Smallholder and Community, Services Development Project | Financial support |
International Fund for Agricultural Development (IFAD) | Financial support |
The quantitative based study utilized a two stage cluster sampling design with the selection of clusters at the first stage while the second stage involved the selection of the households. The household is the unit of analysis. Initially, a sampling frame did not exist for selection of a representative sample. It was therefore necessary to construct one based on the available Census data. Each of the FDAs provided the necessary stratification making a total of 16 strata. Enumeration Areas (EAs) based on the 1999 Population and Housing Census formed the Primary Sampling Units (PSUs). Since this Census was carried out more than 11 years ago, changes in the composition of EAs were expected and a listing exercise was necessary. The EAs were formed to cover an average of 100 and 150 households in the rural and urban areas, respectively. However, in this survey a measure of size (MoS) of 100 households in an EA was adopted. A complete quick count of households within the EAs was first done and those with more than 1 MoS were segmented into corresponding number of segments while those with less than 1 MoS were merged with the neighbouring ones. Once the clusters were identified, a complete listing was done. All districts, FDAs and clusters were then allocated
identification codes.
The domains of estimation were the 16 strata which is equivalent to the 16 FDAs. In the first stage sampling, 130 clusters were selected while in the second stage 3,221 households were sampled. One cluster in Thika district was found to be non-operational since it had become an urban area. Each EA provided 25 households except one which had 21 households. Selection of the households within a cluster in the second stage was done systematically.
One cluster in Thika district was found to be non-operational since it had become an urban area. Each EA provided 25 households except one which had 21 households.
The survey response rate was 97.1 percent constituting 3,129 households that were successfully interviewed. However, 2.3 percent of the sampled dwelling units could not be interviewed due to reasons such as refusals or absenteeism. An additional 0.6 percent of all interviews could not be conducted because either the sampled dwelling units had become vacant or the respondent was incapacitated. All the FDAs in Kirinyaga and Nyeri registered 100 percent response rate, while Nyandarua, Thika and Maragua recorded response rates of 98.1, 97.4 and 95.0 percent respectively.
The sampling weights for the data collected from the sampled households were constructed such that the responses could be properly expanded to represent the entire households in the FDAs. The design weights which are the inverse sampling rate (ISR) for the FDAs, were assigned to each of the households in a FDA. These were adjusted for two factors: Sample Stabilisation to conform to projected population estimates, and Non-responding Units. For the purpose of this analysis, the weights were applied without further adjustments.
The sample based on the developed sampling frame was not self-weighted. It was therefore necessary to weight the data to enable generalization of the sample results to the population. Weights were constructed using the selection probabilities of EAs. The selection probabilities were based on the measure of size (MoS) and the sampling interval of the clusters within the project areas. All the household survey results presented in the report are weighted. However, caution must be exercised when interpreting the results of the CKDAP-Household Impact Survey 2010, where the number of Households is less than 30.
Household Impact Assessment Survey Questionnaire (December 2010)
Group Interview Questionnaire
Project Coordination and Management Questionnaire (January 2011)
Start | End |
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2010-12-06 | 2010-12-21 |
2010
Name | Affiliation |
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Kenya National Bureau of Statistics | Ministry of Planning and National Development |
The survey was conducted through face to face interviews using questionnaires. Forty four (44) Research Assistants (RAs), six (6) data entry personnel and five (5) supervisors participated in the survey across all 16 FDAs in the five districts. An additional three (3) coordinators were responsible for monitoring and ensuring questionnaire quality.
Training on the data collection instruments was held for a period of three days for Research Assistants, Supervisors and data entry personnel. All the modules of the questionnaire were discussed and role plays performed to establish whether the RAs had attained the required level of comprehension. Feedback of the role plays were discussed and incorporated into the final questionnaires.
For quantitative approach:
The data entry screen using CSPro (Census and Survey Processing System 4.1) program was developed based on the final questionnaires. The data entry personnel were then trained for 2 days on data capture and granted an additional 1 day to practice before commencement of actual data entry.
All completed questionnaires were delivered to the district headquarters of each FDA for editing and data entry. Questionnaires were edited by Supervisors at the office before entry. Before analysis, cleaning specifications were defined and cleaning syntax developed in CSPro and SPSS. The data was then converted into SPSS for analysis. The study applied SPSS and Stata programmes for data analysis. This involved running descriptive statistics tables of housing charecteristics, households’ expenditures, water and sanitation, health care, agriculture, livestock production and food security, and income generating activities. The findings of the FDAs were also compared with the situation during the CKDAP Baseline Survey of 2006.
For qualitative approach:
Between 17th and 29th December 2010, the Research Assitants were involved in the transcription and translation of the FGDs and IDIs. The transcription entailed the creation of a text copy of the audio recordings of the FGDs and IDIs in the same language that they were initially recorded. The translation entailed creating an English copy of the transcribed text. In January 2011, two trained data entry clerks, under the supervision of a qualitative data analyst, went on to proof read the transcribed English versions of the FGDs and IDIs while creating a list of the emerging themes. The themes were then used to create codes that were in turn used to code the qualitative data. Analysis of the coded data was then undertaken and a report prepared. Data from the self administered questionnaires were subjected to the same process mentioned above.
The data entry of the group questionnaires was done between 20th and 24th December 2010. Two (2) trained data entry clerks were involved in this process. These clerks used data entry screens, developed using CSPro software, to capture the data in the questionnaires. Double data entry was used to eliminate errors that may have arisen during this stage of data capture. The data in CSPro format was then converted to SPSS format after which it was cleaned further before the data tables were created for analysis. The data analysis and report writing were done in January 2011.
Organization name |
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Kenya National Bureau of Statistics |
"Kenya National Bureau of Statistics, Central Kenya Dry Area Smallholder and Community Services Development Project (CKDAP) Household Impact Survey Report (2010), Version 01. http://statistics.knbs.or.ke/nada/index.php/catalog"
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.
DDI_KEN_2010_CKDAP_v02_M
Name | Affiliation | Role |
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Kenya National Bureau of Statistics | Ministry of Planning and National Development | Documentation of the study |
Accelerated Data Program | International Household Survey Network | Review of the metadata |
2013-05-31
Version 02 (October 2013). Edited version based on Version 01 DDI that was done by Kenya National Bureau of Statistics and reviewed by Accelerated Data Program, International Household Survey Network.