Therefore, it is important that the correct research procedures are followed so that an accurate conclusion is reached. The theory is grounded in actual data, which means the analysis and development of theories happens after you have collected the data. Grounded theory aims to formulate, test and reformulate prepositions until a theory is developed. Grounded theory sets out to discover or construct theory from data, systematically obtained and analysed using comparative analysis. Qualitative and quantitative data generation techniques can be used in a grounded theory study. Grounded Theory is a Qualitative approach that lets theory emerge from data. They also help the researcher break through biases and lead him or her to examine some of his or her assumptions that might otherwise be unrealistic. Grounded theory is a well-known methodology employed in many research studies. /book/an-introduction-to-the-philosophy-of-methodology Publication year: 2013 Online pub date: DecemDiscipline: Business and Management, Counseling and Psychotherapy, Education, Political Science and International Relations, Social Policy and Public Policy, Social Work, Sociology Methods: Critical realism, Theory, Methodology DOI: doi. This back and forth movement between data collection and analysis is sometimes called an iteration. This involves the researcher moving in and out of the data collection and analysis process. Follow the research procedures. Research procedures (data collection, analysis, etc.) are designed to give precision and accuracy to a study. The Grounded Theory Approach involves constant comparative analysis or what has come to be called the Constant Comparative Method.They should always be checked out against the data and never accepted as fact. Background: Grounded theory is a well-known methodology employed in many research studies. ![]() ![]() Maintain an attitude of skepticism. All theoretical explanations, hypotheses, and questions about the data should be regarded as preliminary, whether they come from the literature, experience, or making comparisons.Periodically step back and ask questions. The researcher needs to step back once in a while and ask the following questions: What is going on here? Does what I think I see fit the reality of the data? Data does not lie, so the researcher needs to make sure their own ideas about what is happening matches what the data is telling them, or the researcher may need to alter their idea of what is going on.
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