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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. Open coding attempts to codify, name or classifying the observed phenomenon and is achieved by segmenting data into meaningful expressions and describing that data with a single word or short sequence of words. Relevant annotations and concepts are then attached to these expressions. Details Applied in varying degrees of detail, open coding can be linked to a line, sentence, paragraph or complete text (e.g., protocol, scenario). Alternatives are selected according to the research question, relevant data, personal style of the analyst and the stage of research. However, coding should always follow its aim to break down and understand a text and develop a scheme of categories over the course of time. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Grounded Theory
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 collecting and analysis of data. Grounded theory involves the application of inductive reasoning. The methodology contrasts with the hypothetico-deductive model used in traditional scientific research. A study based on grounded theory is likely to begin with a question, or even just with the collection of qualitative data. As researchers review the data collected, ideas or concepts become apparent to the researchers. These ideas/concepts are said to "emerge" from the data. The researchers tag those ideas/concepts with ''codes'' that succinctly summarize the ideas/concepts. As more data are collected and re-reviewed, codes can be grouped into higher-level concepts and then into categories. These categories become the basis of a hypothesis or a new theory. Thus, grounded the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Qualitative Data Analysis
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. This type of research typically involves in-depth interviews, focus groups, or field observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic. It is particularly useful when researchers want to understand the meaning that people attach to their experiences or when they want to uncover the underlying reasons for people's behavior. Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis. Qualitative research methods have been used in sociology, anthropology, political science, psychology, communication studies, socia ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Grounded Theory
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 collecting and analysis of data. Grounded theory involves the application of inductive reasoning. The methodology contrasts with the hypothetico-deductive model used in traditional scientific research. A study based on grounded theory is likely to begin with a question, or even just with the collection of qualitative data. As researchers review the data collected, ideas or concepts become apparent to the researchers. These ideas/concepts are said to "emerge" from the data. The researchers tag those ideas/concepts with ''codes'' that succinctly summarize the ideas/concepts. As more data are collected and re-reviewed, codes can be grouped into higher-level concepts and then into categories. These categories become the basis of a hypothesis or a new theory. Thus, grounded the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Axial Coding
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. According to Strauss and Corbin (1990, 1998) who propose the use of a "coding paradigm", the basic framework of generic relationships is understood to include categories related to: # the phenomenon under study, # the conditions related to that phenomenon (context conditions, intervening structural conditions or causal conditions), # the actions and interactional strategies directed at managing or handling the phenomenon and # the consequences of the actions/interactions related to the phenomenon. As Kelle underlines, the implicit or explicit theoretical framework necessary to identify categories in empirical data is derived, in the procedures explicated by Strauss and Corbin (1990), from a "general model of action rooted in pragmatist and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Analysis
Data analysis is the process of inspecting, Data cleansing, cleansing, Data transformation, transforming, and Data modeling, modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and Statistical h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
