ECON131 Quantitative Methods in Economics Assessment Sample

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What are the Characteristics of Quantitative Research?

Quantitative research as the name itself suggests is the field of economics that deals with numbers, logic, and an objective stance. Not divergent reasoning in a free-flowing manner, quantitative research rather aims at numeric and static statistics and comprehensive, convergent reasoning. The main features of quantitative research are mentioned below:

• The data in qualitative research is usually grouped with the help of structured research instruments.
• The outcome in quantitative research is usually done on the basis of greater example extents, which are presented by a larger number of people. 
• On the basis of high trustworthiness, the study of research can usually be replicated or repeated. 
• There is an evidently demarcated examination problem in quantitative research to which objective responses are sought.
• Every related to the study is considered deeply even before the data is collected.
• In quantitative research, data is gathered in the form of numbers and statistics, which is further managed in tables, charts, figures, or any other non-textual forms.

Tips To Keep in Mind while Drafting ECON131 Quantitative Methods in Economics Assessment Answer

Below are the tips to consider while penning down ECON131 Quantitative Methods in Economics Assessment Sample. Once you consider these pointers for drafting the assessment answer, it will be easier for you to acquire top grades this fall. Here are the tips:

• It is very important to describe the collected data, which you are incorporating in the assignment solution. Along with the same, it is imperative to give a proper description of the statistical treatment and the relevant outcomes in the context of the research problem you are inspecting.
• It is also imperative to inform about the unforeseen events that happened during the course of your data collection. 
• Talk about the handling of missing data and how the authentic examination varies from the premeditated analysis.
• Also, explain the tricks and techniques that you have used to "clean" your data set.
• Pick an adequate statistical process and also, give validation for its use and a reference for it.
• Explain the expectations for each method that were taken by you for writing the assignment answer. 
• It is better to stay away from inferring causality, particularly in nonrandomised designs.
• It is suggested to use tables to provide exact values, keeping the figures and tables small in size, including infographics as and when possible. 
• Once you do the above point, always ensure that you direct your reader towards the table or figure and what they are looking for in them. 

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