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This study examines factors influencing homeownership amongst civil servants in Ibadan metropolis, Oyo State, Nigeria. For this purpose, it identifies the socio-economic characteristics of civil servants in Ibadan, investigates their housing preferences and identifies and examines factors affecting homeownership amongst them. This happens with a view to promote homeownership. The study uses self-administered questionnaires to obtain relevant data. A total number of 113 participants were used. This was generated by taking 15% of the staff capacity of each of the reviewed ministries in the Oyo State government secretariat, Ibadan, Oyo State. Out of this number, 95 valid participants were retrieved and used for the analysis, indicating a response rate of 84.07%. Data were analysed with the use of frequencies, percentages and weighted mean analysis.

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Chapter 3.0 RESEARCH METHODOLOGY:
3.1 Introduction:
In the preceding chapters, an attempt was made to lay a foundation for this study. The aim, objectives, and important of the study were well explained in the first chapter while the second chapter focused researchers view on factors influencing homeownership. This chapter discusses the methodology used in this research including research design, sampling frame, sampling techniques, sampling size, research analytical tool, data types and sources and procedures for data collections.
3.2 Research design:
Research design entails the plan, arrangement, structure and strategy of investigation conceived to obtain answers to research questions in order to control variance or deviation and to suggest adequate observation of the study area and a proper means to analyze the data obtained from the questionnaire administered. It also explains the procedure the research will follow in arriving at the result; means of data presentation and details on steps taken to achieve the objectives of the research work. This research work is designed to acquire data from primary data for analysis and presentation.
3.3 Study population:
Population is a collection of individual items whether of people or things that is to be observed in a given situation. The respondents to be administered questionnaires for the purpose of this study are civil servants in Ibadan metropolis.
3.4 Sample frame:
The sample frame for this research work are the civil servants in Ibadan metropolis The sample frame will be limited Oyo State government ministries workers in the area of case study, the sample frame for the Ministry of Establishment and Training is 145, Ministry of Local Government and Chieftaincy Matters is 89, Ministry of Land, Housing and Survey is 205, Ministry of Youth and Sport is 250 and Ministry of Physical Planning and Development Unit is 60, All totaling 749. And this research will be limited to these five (5) Ministries because of availability and accessibility of data on other Ministries.
3.5 Sample size:
This is usually considered when the size of the sample frame is large. It aimed at determining the working population that will be used for this study. The adoption of sample size is to allow the researcher to be able to have a better coverage of the study area.
For purposes of achieving the study´s objectives, this research will focus on 15% each from the Ministry of Establishment and Training, Ministry of Local Government and Chieftaincy Matters, Ministry of Land, Housing and Survey is, Ministry of Youth and Sport and Ministry of Physical Planning and Development Unit, 15% of the five (5) Ministries is 113, thus the sample size is 113. The questionnaires will be administered to ensure and achieve maximum response.
3.6 Method of sampling:
A sample is a part of population observed for the purpose of making scientific statement or taking a decision about the population. A sample can be random, systematic, stratified, cluster sampling.
And for the purpose of this research the systematic sampling will be adopted.
Systematic sampling:
Systematic sampling relies on arranging the target population according to some ordering scheme and then selecting elements at regular intervals through that ordered list. Systematic sampling involves a random start and then proceeds with the selection of every nth element from then onwards. In this case, n= (population size/sample size). It is important that the starting point is not automatically the first in the list, but is instead randomly chosen from within the first to the nth element in the list. A simple example would be to select every 15th name from the telephone directory.

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