Quantitative Research Topics & Ideas 2021
Published 1 May 2019
Before Discuss About list of Quantitative Research Ideas, First Of All, We need to know about Quantitative Research.
Quantitative research refers to the systematic experimental study of the conspicuous phenomenon. Quantitative research can be either of these three types :
- Mathematical
- Statistical
- Computational technique
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The quantitative research paper aims at collecting data from a particular group of data. The next step is to generalize the collected data to a wide range of people to describe the process. Quantitative research is necessary to attain a particular objective.
Organizing a survey is the best approach to attain quantitative research. Opting to write a quantitative research paper is easy but going for the right topic selection for research is difficult. So here we are giving you the list of essential quantitative research topic ideas prepared by our essay helpers for the nursing, stem, ABM, gas, hums & senior high school students that need to be focused on.
Interesting Quantitative Research Paper Topics
It’s not always easy to find good quantitative research paper topics. They can be various, but which one will be best for you? Our experts know how to pick top quantitative topics for essays. Quantitative papers focus on numerical data that you gathered, so if your topic is faulty, your research may turn out dull and uninteresting. Read the best topics and tips for quantitative research below.
What is Quantitative research?
It is a kind of research, in which there is a systematic empirical investigation of the observable phenomena of interest. This phenomenon can be observed in various ways like computational, statistical, or mathematical techniques. Whatever research you do, the data you collect will be in numerical form. Data in such a form gives you an unbiased result.
What is the Importance of quantitative research?
The primary reason why we do quantitative research is to collect data from a sample. The sample results are then generalized to a population. To generate a hypothesis, we must do quantitative research. The most reliable method to do it by conducting a survey.
This is by far the best method researchers use for their quantitative research. It helps the researcher to understand completely, the outcome of the study being conducted. Furthermore, it provides dependable evidence to generate a hypothesis. Hence, it makes the study more credible and reliable.
So when other researchers do the same kind of research, quantitative research serves as a baseline for them. So, it becomes an inevitable part of any research.
What is quantitative research?
The term quantitative research refers to approaches to an empirical inquiry that collect, analyze and display data in numerical rather than narrative form. It uses computational, statistical and mathematical tools to derive results. If you are going to use this approach, you need to know about the methods and unique research topics used to conduct quantitative research.
What are the characteristics of quantitative research?
A quantitative research deals in numbers, logic and an objective stance. The major characteristics of this type of research include the following:
- The data is collected using structured research instruments [e.g., samples, survey, questionnaire, etc.].
- The results are based on larger sample sizes, which are representative of the population.
- Given its high reliability, the research study can be replicated or repeated
- The researcher needs to have a clearly defined research question to which objective answers are sought
- Every aspect of the study is designed with caution before the collection of data.
- Data is generally in the form of numbers and statistics. It is presented in the form of tables, charts, figures, or other non-textual forms.
- The approach to empirical research can be used to generalize a particular concept for a wider audience, predict future results or to investigate causal connections.
The main purpose of quantitative research is to classify features, count them and develop statistical models in the process of explaining an observed phenomenon.