RECENT ASSIGNMENT

Assignment two
Your assignment two is the methodology part of a full research article. Please see the template for assignment two attached below. In your assignment two please strictly follow the template attached and complete each sections.
If you have any questions please attend the class and discuss with me.
Methodology

Section1 Research Questions (Hypothesis)

List your research questions (Hypothesis). These are indicated by the research problem and bound by your theoretical perspective and your research methodology.
Explain why the research questions are significant and important.
Example research questions:
Are there increased numbers of minority students scoring at higher percentages than previously?
What factors affect mortgage fee in Australia?

Section 2 Data Sources
Specify where your data come from and how your data are collected. If your data are collected form survey, please explain how your survey is conducted and how many persons you interviewed and how many responses you received.
Note: please attach your questionnaire at the end of your assignment.

Section 3 Variable definition and measurement
To define and measure all variables in your research. For example, if you research on the relationship between the use of social networking tool and companies’ profit, you may need to define what profit is and how to quantitatively measure a company’s profit in your research.

Section 4 Data Analysis Strategy (Statistic method)
In this section provide a discussion of your intended methods for analysing your qualitative data. It is important for your audience to know what you will do with the collected data and that it fits well with your worldview, research philosophy, and research strategy.
Qualitative data analysis searches to describe general statements about relationships and themes present on the data. Wolcott (1994) states the term analysis is a generic term that embraces the three basis categories when analyzing data: description, analysis and interpretation.
Possible methods used in your research include linear regression, t text etc.