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As a researcher, you must understand in-depth quantitative research and its types to apply it in your research. It is a way of collecting and evaluating numerical data to answer the research question or test the hypothesis. Quantitative research is different from qualitative research as it identifies the correlations within the numbers. Qualitative research, on the other side, is used to evaluate non-numerical data. When your topic of research is about to solve statistically, then you move towards quantitative research to identify the facts, use numerical data and compare it to prove or disprove the hypothesis and generate statistical results.

A research design is a scientific strategy that aims to organise different research components logically and coherently. Stated in another way, the pre-defined set of rules offered to the social sciences researchers for answering research questions and testing hypotheses are termed research design. It is a multi-layer process that describes blueprints for collecting, measuring, analyzing, and interpreting given data.

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A student may be assessed on his ability to do a particular dissertation, but which is one side. What happens in the real world is that it is a pressure test. Students need to prove their ability to handle the workload while conducting research for their dissertation. They are often short on time because of other tasks and their jobs. So professional dissertation writing services are hired to do the research for you and take care of the dissertation using their expert level approach. You will then see how paying an affordable price can get you good grades.

Data collection is a systematised way to collect relevant information for a particular problem. In research work, data is collected to get the in-depth information to evaluate a specific aspect. In some research, you have to collect data to test a hypothesis. On the other hand, there can be a research question to address. In both cases, you have to do an analysis that requires data. Otherwise, it remains impossible to provide support to the conclusion of the study. Research always demands evidence for every claim. Without evidence, your effort, time, and investment are not worth it. So, you have to be very clear about each aspect of the research work. From one purpose to another, you can find a variety of data types. It can be in numeric as well as subjective forms.