What is data analysis?
In general terms, Data Analysis is the process of finding the meaning and correlations behind the raw data. It can be done as a separate study or part of another research.
To do the process right and the results be reliable, three steps which are the basis of the data analysis, should be done right. Data gathering, choosing the right analysis tool, and describing the results.
Data Analysis Steps:
1- Data gathering is maybe the most important and time-consuming part of data analysis. Why? Without reliable and valid raw data, the remaining analysis process would be meaningless, even if we chose the best analysis tool.
2- Now we are being introduced to new innovative analysis tools almost every day. So we should be more cautious about choosing the right method for the analysis. Their structure and limitations make it critical to distinguish which tool to choose for any study. Although many tend to think that using newly introduced tools is a showcase of being an up-to-date expert, an up-to-date expert is familiar with all tools related to their field and knows when and how to use either of them.
The fact, which most of the time is forgotten by inexperienced researchers, is that these analysis tools are just tools and it is the accuracy and reliability of the raw data that make the result reliable and accurate. Besides, the keenness and precision of the researcher are crucial for extracting meaningful information from the raw data, and even filtering those irrelevant data that hide important information.
3- The final step after data gathering and doing analysis using the right software, is to analyze the findings and extract important and meaningful information and relations between variables hidden in the pool of data.
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