Data analysis has become an important part of our academic and professional lives, whether you are working on a precise research paper or a full-fledged dissertation for your degree. You have to deal with different data analysis tools and techniques to complete the project.
Dealing with complex and large chunks of data without any supervision or guidance can be a difficult task, and the chances of error are high. In some cases, researchers are not adaptable to working with data analysis software like SPSS, NVivo, etc.
You can look for data analysis help from your supervisor if he is willing to do so or otherwise from any reliable partner like Research Prospect who has a team of expert data analysts.
What is Data Analysis in Research?
Data analysis in research writing refers to the process of interpreting information from different sources, primary and secondary and using them as supporting or refuting sentences to write a comprehensive research paper or dissertation.
There are different kinds of data, mainly quantitative and qualitative so the analysis approaches can be different for both types. For example, a research paper written for a social science subject using qualitative data, including words and statements can only be analysed using observation and experiments.
On the other hand, a research paper written on an economic crunch in developing countries using quantitative data can be analysed using different tools like STATA for statistical analysis etc.
How Researchers Conduct Data Analysis?
To do the analysis of the data, researchers need to first collect data from different sources and then store them in an organised or logical order.
Now, interpret the raw data through logical reasoning and using different statistical and analytical techniques to understand patterns, relationships, and trends within the data.
Data Analysis Process
You need to follow a logical order and established methods to conduct data analysis for your research studies. The process may vary according to the courses, for instance the steps may be comprehensive for social science subjects like Sociology, but might be concise for technical courses like network monitoring. Here are some general steps to follow for the error-free analysis.
Plan and Define Objectives:
Determine the objectives of your research study and then set the directions of your study to get the required results.
Collect and Organise Data:
After identifying the needed sources to use in your study, go a step further and collect data using techniques like focused groups, interviews, surveys, questionnaires, research papers, books, etc., and then organise the collected data using tools like NVivo and so on.
Analyse Data:
Now, use the collected data to trace patterns, relationships, trends, and supporting or refuting points and analyse them for your research study.
Interpreting Data:
Now, you are at the last step of completing your research writing process by using the above steps to interpret data in a logical and understandable manner.
Methods of Data Analysis
There are different methods for analysing data according to the data type being treated like qualitative or quantitative. Both types are being treated with different methods because one approach can not fit all types.
Here are some data analysis methods to follow for your research studies.
| Qualitative Analysis | This method is used to analyse non-numerical data. |
| Quantitative Analysis | This method is used to analyse numerical and verifiable data. |
| Descriptive Statistics | It is used for analysing statistical data like data sets: mean, mode, median, range, etc. |
| Inferential Statistics | To test hypotheses and draw conclusions about the large data samples. |
| Regression Analysis | It is used to understand how variables affect each other and potential outcomes using historical data. |
Why is Taking Help in Data Analysis Important?
Taking help in research studies is not a bad thing because you can not be a master of all things in a short time. You have to spend years in academic writing to grasp the whole process of research writing.
So if you are struggling to do data analysis of your dissertation or research report, then you can look for a data analysis service provider like ResearchProspect.
They have a team of expert data analysts to help you conduct your studies before your submission deadline. Here are some common reasons for hiring a data analyst to complete your project.
- To Induce the Right Results
- To Establish Yourself as a Reliable Researcher
- To Complete Your Paper on time
What to Look for in a Data Analyst?
If you are looking for a data analyst to have your data analysis done by him. Make sure to look for the following elements in him for the right results.
- Adapt to Using Different Software
- Flexible in Dealing with Different Kinds of Data Sets
- Best Interpretation and Analysis Skills
- Industry Knowledge
- Quality maintaining capabilities
Conclusion
If your submission deadline is near and you are still struggling to figure out how to do data analysis for your research study, then start looking for an expert who is willing to provide you with data analysis help readily.
So that you can complete your project on time and submit it to the relevant authorities to complete your degree requirements.