Quantitative research is a key part of most bachelor and master theses. He searches for the relationship between variables and tests hypotheses derived from available literature. Practical parts of the work cannot do without quantitative research. What exactly is this and how to deal with such research? You’ll find out right now and here!
Quantitative or qualitative? Who’s supposed to know
Quantitative research is based on deduction, which means that it is first necessary to create a hypothesis based on knowledge or theory and then verify it. On the other hand, qualitative research is based on the induction of building a hypothesis or even theory on the basis of collected data. The difference between quantitative and qualitative research is therefore more than clear.
How to do quantitative research?
The main task in quantitative research is to collect the necessary amount of data and then analyze it through statistical methods or computer programs.
Acquired knowledge will come in handy when designing the right research question or hypothesis and choosing the research methods of your bachelor or master thesis. This is a crucial step that you should definitely not skip.
Set a research problem
Right from the beginning you need to clarify what your research will be and what you want to find out. The definition of a research problem may look like a question you are looking for an answer.
Suggest a hypothesis
Based on the acquired knowledge, create a hypothesis. Set your research goals and goals.
Before formulating the hypothesis, it is important to realize that this is not a question, but a statement that needs to be verified. Thus, in the hypothesis, you determine the relationship between two or more variables, and the conclusion you expect at the end of your research.
“The presence of pollutants in cities over 10,000 inhabitants is higher than in municipalities with 1,000 inhabitants or less.”
Select the appropriate methods
Once the hypothesis is in the world, another important step is the choice of research methods. This may include, for example, an experiment, observation, or a structured questionnaire.
Before you begin, make sure that such research is sufficient to confirm your hypothesis whether you have missed a crucial fact that could complicate your research, and how you will evaluate the data at the end.
Specify the sample size
In particular, a sufficient amount of data is needed for quantitative research. For example, if you reach only 2 respondents in the questionnaire, you will simply not get any relevant results.
Thus, the size of the sample to be examined must be large enough and depends on several factors – confidence level, group heterogeneity, number of subgroups, and time or cost.
But the size of the sample is not the only thing that needs to be addressed. It is also necessary to choose an appropriate selection method that may be improbable or probabilistic. While the aforementioned selection method cannot be generalized because we do not control the quality of the sample, the latter can be generalized because it is objective and virtually unaffected.
But don’t worry. With the choice of sample size, the leader of your work will usually help you – you will talk to him about everything. The hours spent on the statistics textbook are probably not at risk.
Collect the necessary data
As soon as you have the preparatory phase behind you, data collection is coming. Leave enough space for it. You never know what can go wrong.
Analyze and conclude
Analyze the data obtained and verify or reject the specified hypothesis. Then justify the results and compare with the theory. Discuss possible shortcomings of research and its benefits.
So go ahead!