Unit 7

Research Design

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Research Design

The research design aimed at analyzing the independent variables and dependent variable is based on the non-experimental design which includes descriptive analysis along with causal and correlation analysis. This chapter includes the research methodology, research design, research methods, data collection method, and sampling technique.

Research Methodology

The research methodology for this type of research is based on quantitative research methods which allows for quantification of analysis. Due to the availability of data in quantitative form, it is relatively easy to assess the causal and correlation analysis after the descriptive analysis has been performed. The quantities exploratory designs allow researchers to produce new knowledge which can be used by other researches in the discipline. Qualitative research methodology is another stream of analysis where the philosophical argument is placed to make sense of the problem and provide solution. Here, quantitative data which is first hand empirical evidences on the phenomenon under investigation.

Research Design

The research design is exploratory because there haven’t been available studies which approaches the data in the way in which this research aims to perform. The available data will allow us to perform descriptive and causal analysis which will also require us to statistical tools for a better understanding of the relationships between different variables. Before doing causal and correlation analysis, the research will begin with descriptive analysis of the data series which provides better understanding of the independent and dependent variables. Lastly, t-test and ANOVA test will be applied to have a better understanding of the data.

Research Methods

The selected independent variable of ‘microfinance,’ ‘crime rate,’ and ‘joblessness,’ can be assessed for descriptive analysis to provide us with geographical proximity, gender analysis, and income variability factors as influencing or non-influential in the understanding of the desired dependent variable phenomenon of ‘homelessness.’ Furthermore, collective magnitude of the problem within the selected spatiality is also more evident through descriptive analysis. Lastly, regression and correlation analysis provide a better understanding of the causes of one variable or another, or interdependence of variables. In some cases, there are econometric issues like heteroskedasticity, multicollinearity, and autocorrelation which than requires further treatment of the data.

Data Collection Methods

The data collection is based on a survey which will yield new data for the clients to look into the new patterns within the variables. A sample based on a randomly selected individual or it can further be stratified for further understanding of people on geographical basis. Each question is designed to contribute to a specific variable and this allows for a quantified series which represents one variable. Data collection also include understanding of ethical issues which are meant to be catered for keeping the secrecy of the individuals. Codes, instead of names, will be used to collect questionnaire data.

Sampling Design

A randomly sampling method will be used to collect data on the required phenomenon in a geographical proximity, but stratified random sampling will provide more Indepth understanding of the phenomenon. Each hypothesis will have descriptive analysis, followed by regression and correlation analysis. An aggregate multi regression method will also be used to provide more Indepth effect of the independent variables on dependent variables. Researches have argued to perform snowball sampling in this regard, but we have chosen to opt for the stratified random sampling technique.