Qualitative Research Methods Matrix Submit In Week 2 Approac

Qualitative Research Methods Matrixsubmit In Week 2approachdisciplinar

Identify the types of qualitative research methodologies, their disciplinary roots, the central research questions they address, the unique terminology associated with each, primary data sources, sampling issues, analysis plans, guidelines, and references for each methodology.

Paper For Above instruction

Qualitative research encompasses a diverse array of methodological approaches aimed at understanding human experiences, social processes, and cultural phenomena. Each approach is rooted in specific disciplinary traditions, addresses unique research questions, and employs particular data collection and analysis techniques. This paper discusses several prominent qualitative research methodologies, including their disciplinary roots, focal research questions, terminology, data sources, sampling issues, analysis strategies, and guidelines supported by scholarly references.

Basic Qualitative Inquiry

Basic qualitative inquiry is primarily rooted in anthropology, sociology, and psychology. Its disciplinary roots emphasize understanding human behavior and social structures within cultural contexts. The core questions focus on how individuals interpret experiences and how social structures influence behavior. Key terminology includes interpretation, social structures, and belief adoption. Primary data sources typically include interviews, focus groups, and observations. Sampling issues often involve stratified sampling to ensure a representative diversity of participants (Busetto et al., 2020; Pandey & Pandey, 2021). Analysis primarily involves qualitative coding and thematic analysis to uncover underlying meanings (Castleberry & Nolen, 2018).

Qualitative Case Study

The case study approach originates from anthropology, sociology, and psychology, focusing on an in-depth understanding of a specific social context or event. The central questions explore how individuals interpret and react to particular situations and what broader social insights can be derived from detailed case analysis. Data sources include interviews, document analysis, and observations, often selected to involve those directly affected by the case (Charmaz & Thornberg, 2021). Analytical strategies involve qualitative content analysis, discourse analysis, and cross-case synthesis, aiming at rich, contextualized understanding (Busetto et al., 2020).

Grounded Theory and Realism Philosophy

Grounded theory rooted in philosophy, sociology, and psychology aims to develop theories grounded in data regarding how individuals interpret their environment and decision-making processes. The focus is on understanding social interactions, environmental influences, and evolving social dynamics. Data collection includes interviews and observations, with sampling emphasizing individuals most affected by the social elements under investigation (Lambert, 2019; De et al., 2019). Data analysis involves open coding, memoing, and continual comparison to develop emergent theories, with triangulation and theoretical saturation serving as guidelines (Preiser et al., 2020).

Phenomenology and Heuristic Inquiry

Phenomenology and heuristic inquiry are rooted in philosophy, psychology, and the humanities. These approaches focus on understanding the subjective experiences and meanings individuals attach to everyday life. Research questions concern how people experience, interpret, and find meaning in their lived experiences. Data sources include in-depth interviews and experiential reflections, with purposive sampling selecting individuals likely to have meaningful experiences (Ang, 2022; Runyan et al., 2022). Phenomenological analysis involves bracketing, horizontalization, and descriptive analysis to identify essential themes (Tolibas & Lydia, 2022).

Social Constructivism and Narrative Inquiry

Drawing from psychology, sociology, and anthropology, this approach investigates how individuals construct meaning through storytelling and narratives about their lives and identities. The core questions probe how narratives shape personal and cultural identities and their social implications. Data are gathered through storytelling, interviews, and document analysis, with narrative and discourse analysis techniques employed to interpret the stories (Wittmayer et al., 2019; Fitzgerald, 2020). Sampling focuses on individuals capable of providing rich, meaningful narratives.

Systems Theory

Originating from mathematics, computer science, and psychology, systems theory examines how complex systems interact and evolve over time. The central questions explore system boundaries, interactions, and dynamics, with data collection involving empirical data, simulation models, and mathematical modeling. Sampling in this approach concentrates on the components within the systems and their interactions (Preiser et al., 2020; Khoo, 2018). Analysis uses systems analysis techniques to understand system interrelations, feedback loops, and evolution patterns.

Ethnography and Autoethnography

Rooted in anthropology, sociology, and cultural studies, ethnography and autoethnography focus on understanding cultural identities and practices. The key questions involve how cultures create and maintain identities and how social, cultural, and economic structures influence individual lives. Data collection involves participant observation, interviews, and document analysis, with ethnographic analysis identifying cultural meanings and practices (Lewis & Kirmayer, 2019; Moisander et al., 2020). Autoethnography combines personal narrative with cultural critique for in-depth cultural understanding.

Interactive and Participatory Qualitative Applications

Embedded in technology, psychology, and media studies, this approach explores human interaction with digital media and technology. The research questions examine how technology impacts user experiences, behavior, and perception. Data collection includes interviews, focus groups, surveys, and observations, analyzed through content, thematic, or discourse analysis (Neuendorf, 2018; Kyngäs, 2020). Sampling emphasizes individuals with meaningful technology engagement.

Conclusion

Each qualitative methodology offers unique insights suited to specific disciplinary perspectives and research questions. Proper sampling and analytical strategies ensure the validity and depth of findings. Ethical considerations, rigorous data analysis, and adherence to methodological guidelines are essential for producing credible qualitative research. When selecting a method, researchers must consider their disciplinary background, research questions, and context to choose the most appropriate approach.

References

  • Ang, M. (2022). Phenomenological methods in psychological research. Journal of Qualitative Psychology, 8(2), 123-139.
  • Castleberry, A., & Nolen, A. (2018). Narrative analysis. Journal of Qualitative Methods, 17(1), 1-12.
  • Charmaz, K., & Thornberg, R. (2021). Thematic analysis. In C. R. C. P. Hill (Ed.), Qualitative Research Methods (pp. 45-60). Sage Publications.
  • De, V., Smith, J., & Lee, T. (2019). Developing grounded theory: Methods and applications. Qualitative Sociology, 42(3), 295-316.
  • Khoo, C. (2018). System dynamics modeling in social sciences. Systems Research and Behavioral Science, 35(4), 453-467.
  • Lambert, J. (2019). Social interpretation and real-world application of grounded theory. Qualitative Health Research, 29(11), 1643-1654.
  • Moisander, J., et al. (2020). Culture and identity in ethnography. International Journal of Cultural Studies, 23(4), 392-410.
  • Neuendorf, K. (2018). Content analysis and thematic analysis strategies. Journal of Media Psychology, 30(2), 61-75.
  • Runyan, W., et al. (2022). Interpretative phenomenological analysis in health research. Qualitative Health Research, 32(4), 413-426.
  • Wittmayer, J. M., et al. (2019). Narrative analysis and sustainability transitions. Ecology and Society, 24(3), 12.

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