A brief teaching note on the hermeneutic approach as a research methodology in social science

A brief teaching note on the hermeneutic approach as a research methodology in social science (information from perplexity.ai)

My question: "Briefly highlight the main ideas of the hermeneutic approach as a research methodology in social science with regard to the following topics: (1) favored research philosophy, (2) favored research approach(es) (both on (i) the research methods (i.e. quantitative, qualitative mixed methods) and (ii) the reasoning approaches (i.e. inductive, deductive and abductive reasoning).) (3) favored research method design techniques, (4) favored research method design quality criteria, (5) favored data analysis techniques, and (6) favored researcher's impression management approach in conducting the hermeneutic approach."

The reply: "Hermeneutic Approach in Social Science Research Methodology

Favored Research Philosophy

The hermeneutic approach aligns predominantly with an interpretivist research philosophy that emphasizes understanding human behavior in context through interpretation. It rejects positivist views that seek objective truths and instead foregrounds language, historical context, and subjective meaning-making as essential to social science research.

Favored Research Approaches

1. Research Methods: Hermeneutics is strongly aligned with qualitative research methods because it focuses on interpreting meanings, experiences, and social interactions rather than quantifying variables.

2. Reasoning Approaches: Hermeneutic research mainly employs abductive and inductive reasoning. It involves interpreting textual or experiential data to generate new insights, understandings, or theories, rather than testing hypotheses deductively.

Favored Research Method Design Techniques

Hermeneutic designs emphasize:

• Systematic interpretation through hermeneutic circles—iterative engagement between parts and whole of texts or social phenomena.

• Use of diverse qualitative techniques such as textual analysis, discourse analysis, and narrative analysis to decode meanings.

• Approaches often include deconstruction of texts or social actions to generate novel insights, avoiding presuppositions that obscure understanding.

Favored Research Method Design Quality Criteria

Quality criteria in hermeneutic research focus on:

• Authenticity and trustworthiness of interpretations, emphasizing reflexivity about the researcher's preconceptions.

• Coherence and plausibility of the interpretive understanding within its context.

• Explicit acknowledgment of historical and contextual embeddedness of meanings.

• Transparency of the interpretive process, including openness to revising interpretations.

Favored Data Analysis Techniques

Data analysis in hermeneutics involves:

• Iterative interpretive cycles between parts of the data and the overall context to deepen understanding (the hermeneutic circle).

• Thematic decomposition and reconstruction of meanings in texts or social interactions.

• Attention to historical, cultural, and social contexts shaping meanings.

• Use of methods like objective hermeneutics, genre analysis, and life-world analysis as specialized techniques.

Researcher's Impression Management Approach

Hermeneutic researchers manage impression through:

• Reflective practice to identify and articulate their biases, assumptions, and pre-understandings (reflexivity).

• Maintaining openness to new insights that may challenge initial interpretations.

• Engaging dialogically with participants or texts to clarify meanings rather than imposing fixed meanings.

• Embracing a transparent, iterative interpretive journey that recognizes the researcher's role in co-constructing meaning.

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This summary highlights the key hermeneutic approach elements in social science regarding philosophy, methods, design, analysis, and researcher stance. Each section is grounded in contemporary academic interpretations of hermeneutics in qualitative research methodology."

Useful videos to study in class: the hermeneutic circle.

A collection of blog notes on using chatgpt for research purpose.