The application of qualitative techniques is increasing and acceptable among the researchers. However, majority of the researchers and postgraduate students did not consider the importance of giving detailed procedures in qualitative data analysis for better understanding of the qualitative results. There is a need to uncover step by step approach in qualitative analysis for better application of qualitative techniques. This article presented a detailed step-by-step approach for qualitative analysis with the aid of a pragmatic illustration. The analytic process presented employed the example of qualitative data transcribed into narrative data to develop basic themes. The employment of Domain Analysis and Thematic Network analysis in the example given helped basic themes to converge to higher order themes. The article submitted that this approach in qualitative analysis will aid thorough understanding of qualitative data interpretation. This is extremely thoughtful approach for the systematic presentation of qualitative analysis.

Socio-economic factor plays an important role in housing decision making through which demand for housing types and residential neighbourhood are made. This study aims at examining the relationship between socio-economic factors and the demand for residential neighbourhood in Nigeria within the context of Ibadan urban cenre. The study utilised the quantitative and qualitative methods. Quantitative approach was employed by the administration of questionnaire among 494 respondents while the qualitative aspect dealt with direct interviews through the use of unstructured questionnaire among 27 participants. Correlation, regression and content analyses were used to evaluate the results of the methods. The findings revealed that, these factors have a great influence on the social status of housing consumers and affect their demand for residential neighbourhood. In conclusion, the demand for residential neighbourhood in Ibadan urban centre has the potential to be explained by the socio-economic status such as; educational level, employment status, official status and monthly income of housing consumers.

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