What is Data Analysis in Social Sciences? How is it done?

Data analysis is a tool used in social sciences to extract meaningful conclusions from a large number of data. Data analysis comprises categorizing data, understanding the relationship between data and visualizing data. Data analysis, when used together with different research methods, helps to increase the quality of studies.

Data Collection

Data collection is an important part of data analysis. Data collection takes place at the beginning of the data analysis process and requires the creation of a dataset that is appropriate to the research purpose. Data collection can be defined as an effort to supply the data necessary for the researcher to perform data analysis in social sciences.

Data Processing

Data processing is a stage where processes such as data collection and cleaning, data summarization, clustering, and data visualization are performed. In this stage, data processing techniques are applied in order to obtain the correct results from the data analysis.

Conclusion

Data analysis is a tool used in social sciences to extract meaningful conclusions from a large number of data. It includes processes such as data collection and cleaning, summarization, clustering, visualization and interpretation. Data analysis, when used together with different research methods, helps to increase the quality of studies.