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Qualitative research is a method of inquiry that focuses on understanding human behavior and the reasons that govern such behavior, often through interviews, observations, and analysis of text and artifacts. It aims to provide deeper insights into social phenomena by exploring the meanings, experiences, and views of participants in their natural settings.
Data saturation is a stage in qualitative research where no new information or themes are observed in the data, indicating that data collection can cease. It ensures that the research findings are comprehensive and reliable, reflecting the full scope of the studied phenomenon.
Thematic analysis is a qualitative research method used to identify, analyze, and report patterns or themes within data. It is a flexible approach that can be applied across various theoretical frameworks and research questions, making it widely applicable in social sciences research.
The Constant Comparative Method is a systematic approach used in qualitative research to analyze data by continuously comparing new data with existing categories or themes to refine and develop theoretical insights. It is integral to grounded theory, enabling researchers to build theories from data through iterative coding and comparison.
Concept
Coding is the process of creating instructions for computers using programming languages, enabling the development of software, websites, and applications. It involves problem-solving, logical thinking, and understanding algorithms to effectively translate human ideas into machine-readable code.
Data collection is the systematic gathering of information from various sources to provide a comprehensive and accurate foundation for analysis, decision-making, and research. It is crucial for ensuring data quality and relevance, directly impacting the validity and reliability of any subsequent findings or conclusions.
Concept
Sampling is the process of selecting a subset of individuals or items from a larger population to estimate characteristics of the whole population. It is crucial in research and statistics to make inferences about a population without having to study the entire group, thereby saving time and resources.
Theory building is the process of developing a systematic and coherent set of ideas that explains and predicts phenomena within a particular domain. It involves the iterative refinement of concepts and relationships through observation, experimentation, and critical analysis to enhance understanding and advance knowledge.
Theoretical generalization involves extending findings from a specific study to broader theories or frameworks, rather than to a larger population. It focuses on refining or expanding theoretical constructs by using empirical evidence to enhance understanding of the underlying principles or mechanisms involved.
Meta-synthesis is a qualitative research method that integrates findings from multiple qualitative studies to develop a deeper understanding of a particular phenomenon. It aims to generate new insights by synthesizing diverse perspectives and uncovering underlying themes across studies, enhancing the overall body of knowledge in a field.
Selective coding is the process in grounded theory methodology where the core category is identified, and all other categories are systematically related to it, refining and integrating the theory. It involves the synthesis of data and concepts to form a cohesive narrative that explains the central phenomenon of the study.
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