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The data analysis method is extremely important as it turns the dataset into a scientific story. It also interprets data to extract conclusions. To put it in another way, data analysis is the process of reducing large chunks of data into smaller but meaningful fragments. Whatever the purpose of your research will be, steps necessary for conducting data analysis remain more and less similar. It always starts from the organisation of data, passes through summarisation, and ends with categorisation. It explores the relationship between different variables. Also, it helps create a final meaningful story describing an event, problem, or solution to the problem under study. This article will discuss a similar data analysis method (content analysis) for the analysis of characteristics of physical items.

Data collection is a systematised way to collect relevant information for a particular problem. In research work, data is collected to get the in-depth information to evaluate a specific aspect. In some research, you have to collect data to test a hypothesis. On the other hand, there can be a research question to address. In both cases, you have to do an analysis that requires data. Otherwise, it remains impossible to provide support to the conclusion of the study. Research always demands evidence for every claim. Without evidence, your effort, time, and investment are not worth it. So, you have to be very clear about each aspect of the research work. From one purpose to another, you can find a variety of data types. It can be in numeric as well as subjective forms.

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The quality of research is dependent on the technique of gathering data. Any research topic aims to find the best result out of it. The obtained results help in making valuable decisions. There are many requirements of data in the case of research work. For example, it should be relevant as well as reliable. Also, you must be familiar with the different data collection methods suitable for the problem of study. The right selection of methods makes it possible to get the best results. An interview is one of the best and most commonly used methods of data collection. To get the most value from an interview, you must first understand the various techniques available. This article describes some of the most common approaches to data collection through interviews.