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It is important to note that the process of qualitative data analysis described above is general and different types of qualitative studies may require slightly different methods of data analysis. The e-book explains all stages of the research process starting from the selection of the research area to writing personal reflection.
Specifically, the most popular and effective methods of qualitative data interpretation include the following: Step 3: Summarizing the data.Qualitative data analysis can be divided into the following five categories: 1. This refers to the process of categorizing verbal or behavioural data to classify, summarize and tabulate the data. In other words, narrative analysis is the revision of primary qualitative data by researcher. When using manual coding you can use folders, filing cabinets, wallets etc. This is more advanced method that consists of several stages such as familiarization, identifying a thematic framework, coding, charting, mapping and interpretation. Then, additional cases are examined to see if they contribute to the theory.Content analysis is a guide consisting of coded documents of transcripts, newspapers, speech, and films that is used in order to study the counts of word-phrase clusters for the purpose of conducting qualitative statistical analysis.Usually, researchers in media and communications perform cluster analysis by creating a dictionary of word-phrase clusters in the form of classified conceptual categories for the purpose of counting those conceptually categorized words and phrases.The following table contains examples of research titles, elements to be coded and identification of relevant codes: Qualitative data coding Step 2: Identifying themes, patterns and relationships.Unlike quantitative methods, in qualitative data analysis there are no universally applicable techniques that can be applied to generate findings.During these sessions, students can get answers to questions about the research design and rationale, the role of the researcher, the selection of participants, instrumentation, procedure, data analysis plan, issues of trustworthiness, data analysis and results.Qualitative data refers to non-numeric information such as interview transcripts, notes, video and audio recordings, images and text documents. This method involves the reformulation of stories presented by respondents taking into account context of each case and different experiences of each respondent. A method of analysis of naturally occurring talk and all types of written text. Qualitative data analysis can be conducted through the following three steps: Step 1: Developing and Applying Codes. A ‘code’ can be a word or a short phrase that represents a theme or an idea. A wide range of non-quantifiable elements such as events, behaviours, activities, meanings etc. There are three types of coding: Coding can be done manually or using qualitative data analysis software such as NVivo, Atlas ti 6.0, Hyper RESEARCH 2.8, Max QDA and others.When choosing software for qualitative data analysis you need to consider a wide range of factors such as the type and amount of data you need to analyse, time required to master the software and cost considerations.Moreover, it is important to get confirmation from your dissertation supervisor prior to application of any specific qualitative data analysis software.