What Are The Four Methods Used To Perform Research Analysis?

In today’s world, collecting tons of data and storing it in databases brings you nothing. Analysing the data and understanding how to extract its true meaning is one of the primary drivers of a research …

In today’s world, collecting tons of data and storing it in databases brings you nothing. Analysing the data and understanding how to extract its true meaning is one of the primary drivers of a research study’s success. However, to perform research analysis, you must employ some kind of method. Do you know what those methods are? Probably not, because if you knew, you would not be here. Well, you have come to the right place.

In today’s world, where data analysis is getting more and more important, many methods to perform research analysis are also emerging. Knowing about those methods and their procedures is the first step toward a great analysis, which unearths all the hidden meanings. Hence, in today’s article, we will talk about the four methods which are mainly used in data analysis processes. Before that, let’s explain the research analysis and its importance.

What is meant by research analysis?

The research analysis is the process of collecting, modelling, and analysing the research data to gain valuable insights into it. Such an analysis supports the decision-making process. The results of the analysis are often presented in the form of charts, graphs, and lines. A simple example of research data analysis is the analysis of data collected through surveys. The pie charts made at the end of the analysis tell you a lot about your research population.

Why is analysis important in research?

The analysis is a very crucial part of any research study. The reason is that without conducting effective data analysis, you cannot get valuable insights into the topic and help the decision-makers make a decision. Further, below are some other reasons that make it important:

  • By effective research analysis, you get more accurate results which reveal the true picture of your research population. The results of the analysis make future developments in research easy.
  • It helps the researchers make informed decisions about the problems. The informed decisions are less likely to be unsuccessful. Effective data analysis helps to avoid costly pitfalls and make the right choices.

What are the four methods used in research analysis?

By reading the information above, you now have a good idea of what analysis in research means and what its importance is. However, you still do not know the methods to perform the analysis. Normally, there are 4 methods used in this context. A brief description of each method is as follows:

1. Qualitative research analysis

As you all know that there are two kinds of data mainly available. One is the quantitative data, and the other is qualitative. Both employ different research data analysis techniques. Qualitative analysis involves the use of four methods. Those four methods are as follows:

Content analysis. In this method, the researcher analyses the content of the research data by reading it line by line.

Narrative analysis. It is the best method for data collected through interviews. In this method, the researcher analyses the narrative of respondents.

These two are mostly used methods. The other two methods are thematic analysis and grounded theory. If you feel difficulty in doing any of these research analyses, you can get help from research paper writing services.

2. Regression analysis

It is a research analysis method used for quantitative data. By using this method, the researcher tries to find the hidden relationship between the dependent and independent variables. It is also the analysis method which explains how one variable affects the other. Simply put, by utilising this analysis method, you get to establish a cause-and-effect relationship between the variables.

3. Hypothesis testing

Method no. 3 is about testing a hypothesis. This analysis method is particularly useful when you need to test whether a particular argument or conclusion is true for a dataset or not. This method allows the comparison of the data against different assumptions. The results of the test tell about the validity of the assumption that you have made about the data. The initial assumption is called a null hypothesis.

4. Sample size determination method

Lastly, the method of sample size determination is the fourth method used in research analysis. This method is also the easiest one. In this method, the researcher only takes a sample size from a large population and analyse that sample instead of the whole population. The results of the analysis obtained are then applied to the whole population. To do this analysis correctly, you must select the sample size right, and the qualities of the sample size must match the qualities of the population.


Conclusively, performing research analysis is not an easy task. The above-discussed methods are the four most used methods. As a researcher, you must know how to use these methods to get the best insight into your research data. So, read the article from start to end carefully.

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