Wednesday 20 July 2016

Writing Results and Discussion (Chapter 4)

Here you are going to give the statistical results. Mostly you start with the descriptive statistics such as gender, age, marital status, and then, you move to test main hypothesis. Normally, you can provide the correlation table and regression. Mediation analysis, Moderation analysis, Confirmatory Factor Analysis, and Model testing in Structural Equation Modelling can also be performed. Here, it all depends on the nature of your research topic and objectives. For example, if your research objective is comparative, then you are going to use some comparative statistics such as t-test or F-test. If your objectives are about effects or association, then you are most likely end up with correlation and regression. Sometimes, your objectives are also combination of descriptive, comparative, and effects based. Kindly look at our blog or this page for learning some basic quantitative techniques.
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Writing Discussion:
In discussion section, you normally re-summarize your results and also links your findings with the literature. So technically, here you relate your findings with the literature or theory. For example, if you findings are that working capital management increases the share prices, so you must discuss whether theory states the same or something else. If you have done some good literature review, then writing the discussion section should not be a problem for you. I am providing an example of some small portion of a discussion.
Example:
The results of the logistic regression analysis show that the factors: User-friendly Website, Internet Access/Internet Familiarity, Marketing Communications, Perceived Risks, and Price influence customers‘ decisions to adopt Internet banking. The support for Hypothesis 1 confirms that User-friendly Website positively
influences customers to adopt Internet banking services. This result is consistent with the findings of Padachi et al. (2007), Litchtenstein and Williamson (2006), Akinci et al. (2004), and Sohail and Shanmugham (2003). For example, Padachi et al. (2007) and Lichtenstein and Williamson (2006) find that a user-friendly bank website is an important determinant of ease of use, which affects the adoption of Internet banking services in Mauritius and Australi




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