This section describes the study area and

This section describes the study area and how the research study will be conducted. Also it include the research design, the target population, data collection and analysis of the data.

3.1 Study Area

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The study will cover Nairobi County in Kenya, Nairobi County will be chosen because of the following reasons. First, Nairobi has the highest rate of urbanization as a result of rural-urban migration compared to other counties and second, Majority of the population in Nairobi live in slums and informal settlement and host the biggest slums in Kenya.

3.2 Research Design

Cross-sectional research design will be used in this study since it allow data to be collected at one point in time and it is considered  to be useful where resources are imitated (Kothari, 2009). According to Tundui, (2012) who argues that  cross sectional survey makes it possible to test ideas generated from various studies including case study and theories . Mutisya (2015) and Ngigi (2016) used cross sectional research design and found it appropriate .For this reason this study finds it appropriate to employ  cross section research design in this study.

 

3.3 Target population

The study population will cover Nairobi County. Nairobi City County has 17 sub counties. Each sub county has different number of primary housing co-operative in total there are 30 primary housing co-operative with 50,000 membership.

3.4 Sample Size and Sampling Technique

Purposive sampling technique will be used to select the number of primary housing co-operative from each sub counties in Nairobi County this is because of variation of kind of housing intervention and membership size in each of sub counties. 30 primary housing co-operative will be used, simple randomly sampling will be used to select 10 respondents from each primary housing co-operative. The purposive sampling technique will be used again to collect data from officials with the requisite knowledge and expertise on housing sector including NACHU Chairman, CEO of NACHU, 3 Board of directors of NACHU, 2 district co-operative officer and total sample will be 307 for the whole study.

3.5 Data Collection

The study intends to use both secondary and primary data. Both quantitative and qualitative methods will be used in this study. The primary data will be   collected using questionnaires, key-informant interviews with officials and in-depth interviews with developers, housing associations, affordable housing consultants, local authority planners, contractors, government official, and estate agents. The questionnaires will be administered cross three cities to collect data related to the objectives of the study. Pilot test of questionnaire will be done in three locations to ensure its relevance and understanding of respondents.

In order to do comparison, improve the quality of explanation and fill the gap of primary data, secondary data will be used in addition to the primary data. The secondary data will be collected from both published and unpublished sources, including journals, articles, books, official reports and documents related to the research objectives including Housing policy documents as well as internet sources.

 

3.6 Data Analysis

Descriptive statistics will be used to analysis data for each objectives .Appendix 1 will shows how each objective will be analyzed

3.6.2 Development of indices of variables

To construct an index for a variable, a set of statements that determine the respective variable will be developed through discussions with key informants and the focus groups discussion. These indices will be then subjected to factor analysis for data reduction.  The respective weights from the set of statements will be added up and divided by the number of statements that will remain after data reduction to develop housing affordability index. The housing affordability index will be used to determine the extent to which a household will be constrained in meeting housing needs. A cut-off point will be determined, to categorize respondents into those who can afford housing and those who cannot