Coding (social sciences) In the social sciences, coding is an analytical process in which data, in both quantitative form (such as questionnaires results) or qualitative form (such as interview transcripts) are categorized to facilitate analysis. One purpose of coding is to transform the data into a form suitable for computer-aided analysis. Coding reliability [4][2] approaches have the longest history and are often little different from qualitative content analysis. As the name suggests they prioritise the measurement of coding reliability through the use of structured and fixed code books, the use of multiple coders who work independently to apply the code book to the data, the measurement of inter-rater reliability or inter Open coding Based in grounded theory, open coding is the analytic process through which concepts (codes) are attached to observed data and phenomena during qualitative data analysis. It is one of the techniques described by Strauss (1987) and Strauss and Corbin (1990) for working with text. The data collection instrument used in content analysis is the codebook or coding scheme. In qualitative content analysis the codebook is constructed and improved during coding, while in quantitative content analysis the codebook needs to be developed and pretested for reliability and validity before coding. [4] The codebook includes detailed instructions for human coders plus clear Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc. Grounded theory is a systematic methodology that has been

largely applied to qualitative research conducted by social scientists. The methodology involves the construction of hypotheses and theories through the collection and analysis of data. [1][2][3] Grounded theory involves the application of inductive reasoning. The methodology contrasts with the hypothetico-deductive model used in RQDA is an R package for computer-assisted qualitative data analysis or CAQDAS, making it one of the few open source tools to assist qualitative coding of textual data. Note that there are also other popular but mostly proprietary CAQDAS tools such as NVivo and Atlas.ti but these software come at a cost. RQDA was developed by Huang Ronggui during his PhD study at the City University of Hong Axial coding is the breaking down of core themes during qualitative data analysis. Axial coding in grounded theory is the process of relating codes (categories and concepts) to each other, via a combination of inductive and deductive thinking. Social scientists are divided into camps of support for particular research techniques. These disputes relate to the historical core of social theory (positivism and antipositivism; structure and agency). While very different in many aspects, both qualitative and quantitative approaches involve a systematic interaction between theory and data. [3] The choice of method often depends largely on