Ask AI: which features are criticial in qualitative research

1. Data Collection: Data collection in qualitative research is typically direct and non-numerical. It includes interview transcripts, notes, video and audio recordings, images, and documents. 2. Subjectivity: The researcher's perspective and interpretation can impact the study, which includes the researcher's influence on the type and location of the data gathered. 3. Naturalism: This refers to studying people in their natural settings rather than in a controlled experimental environment. 4. Inductive Analysis: This is the process of creating patterns, themes, and categories from the collected data rather than using an existing theory. 5. Rich Description: Qualitative research often offers a rich, detailed description of the phenomenon under study to allow the reader to understand its complexity. 6. Holistic Perspective: Qualitative researchers often try to understand the phenomena as a whole and in its context, not isolating it from its interconnected parts. 7. Focus on Meaning: It's focused on how individuals and groups understand, experience, interpret, and produce the social world. 8. Emergent Design: The study evolves over time based on ongoing analysis. This is a more flexible structure compared to quantitative research, allowing the study to adjust based on learned experiences. 9. Participant's Perspective: In qualitative research, the researcher generally attempts to see the situation from the participant's perspective, to understand their actions and behaviour. 10. Grounded Theory: The study's theories or assumptions are 'grounded' in the data collected. Remember that different types of qualitative research may involve different methods or prioritize different features. Always determine your research questions and goals before choosing the best methodology.