In this case simply stating that there is a strong positive correlation between FDI and GDP would not suffice you have to provide explanation about the manners in which the growth on the levels of FDI may contribute to the growth of GDP by referring to the findings of the literature review and applying your own critical and rational reasoning skills.Ī set of analytical software can be used to assist with analysis of quantitative data. You have specified FDI and GDP as variables for your research and correlation tests produced correlation coefficient of 0.9. You are writing a dissertation exploring the impacts of foreign direct investment (FDI) on the levels of economic growth in Vietnam using correlation quantitative data analysis method. Also, secondary data needs to be integrated in data analysis in a logical and unbiased manner. Moreover, literature review findings conducted at the earlier stages of the research process need to be referred to in order to reflect the viewpoints of other authors regarding the causes of employee dissatisfaction with management communication. For example, organizational culture of Agro Bravo Enterprise, leadership style, the levels of frequency of management-employee communications need to be taken into account during the data analysis. This specific piece of primary data findings needs to be critically analyzed and objectively interpreted through comparing it to other findings within the framework of the same research. The same figure within data set can be interpreted in many different ways therefore it is important to apply fair and careful judgement.įor example, questionnaire findings of a research titled “A study into the impacts of informal management-employee communication on the levels of employee motivation: a case study of Agro Bravo Enterprise” may indicate that the majority 52% of respondents assess communication skills of their immediate supervisors as inadequate. A quantitative approach is usually associated with finding evidence to either support or reject hypotheses you have formulated at the earlier stages of your research process. Quantitative data analysis may include the calculation of frequencies of variables and differences between variables.
In quantitative data analysis you are expected to turn raw numbers into meaningful data through the application of rational and critical thinking.
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