Week 7: Introduction to Qualitative Research PDF

Summary

This document introduces qualitative research, emphasizing its iterative nature and methods like ethnography, interviews, and document analysis. It compares qualitative and quantitative methods and provides coding examples. The document also examines content analysis and the processes involved in analyzing qualitative data, including open, axial, and selective coding.

Full Transcript

**Week 7: Introduction to Qualitative research** Chapter 9: the nature of qualitative research - Chapter 9 explores **qualitative research** as a method focused on capturing the complexity of social life through participants perspectives - It prioritizes words, images, and the dynamic...

**Week 7: Introduction to Qualitative research** Chapter 9: the nature of qualitative research - Chapter 9 explores **qualitative research** as a method focused on capturing the complexity of social life through participants perspectives - It prioritizes words, images, and the dynamic nature of social interactions rather than fixed structures or numerical analysis - This inductive approach relies on **iterative processes** where general questions guide the selection of sites and participants, and data collection informs ongoing refinement of ideas - Methods such as ethnography, interviews, focus groups, and document analysis are central to this approach - Participatory action research is also highlighted - Emphasizing collaboration with those affected by a social issue - The evaluation of **qualitative** research uses criteria like credibility, transferability, dependability, and confirmability, which diverge from the traditional measures of reliability and generalizability  - Researchers aim to understand social life as an evolving process, capturing its nuances and the meanings participants assign to their experiences - Despite criticisms of subjectivity and replication challenges, **qualitative research** is valued for its ability to provide deep, context-specific insights that illuminate the lived realities of its subjects Chapter 12: content analysis - Chapter 12 delves into content analysis - Emphasizing its dual nature as both a **qualitative and quantitative method** for interpreting communication - **Coding** is presented as a vital process that organizes data into meaningful categories, enabling researchers to uncover patterns and themes - **Quantitative coding** uses predefined frameworks to ensure replicability - **Qualitative coding** allows for emergent categories, evolving as the research progresses - Ethnographic content analysis exemplifies this flexibility - Emphasizing the iterative refinement of codes to capture deeper meanings - This chapter also talks about advanced techniques like semiotics, which interprets signs and symbols by examining both their literal and implied meanings and hermeneutics - Which contextualizes texts within their social and historical environments - **Critical discourses** analysis adds another dimension by exploring how language reflects and shapes societal power dynamics, revealing how media influence public understanding - Evaluating content analysis involves assessing authenticity, credibility, representativeness, and meaning to ensure robust findings - While challenges such as researcher bias and subjective interpretation persist, content analysis remind an indispensable method for examining how communication shapes and reflects societal norms **Lecture on this week:** - The lecture focuses on what makes qualitative research rigorous - It emphasizes the need for a solid theoretical framework supported by evidence - The concepts should be clearly connected and flexible enough to cover different situation - The goal of qualitative research is to build theory - Offering convincing and meaningful views on social issues - A big part of the lecture is about **coding, which is breaking down data into smaller parts for easier analysis** - **Open coding** starts by creating basic labels - **Axial coding** brings these labels together into bigger themes - **Selective coding** refines these themes by looking at different aspects - The lecture highlights how coding is an ongoing process - Guided by general ideas (sensitizing concepts) and codebooks to keep everything consistent - This helps researchers build clear, evidence-based stories from their data **Connection between lecture and chapters:** - The lecture and chapters form a cohesive narrative about the principles and practices of qualitative research. - **Chapter 9** sets the theoretical foundation, emphasizing the interpretive, iterative, and participant-focused nature of qualitative inquiry.  - This groundwork is expanded in **Chapter 12**, where content analysis is presented as a specific method that incorporates coding to bridge qualitative and quantitative approaches.  - **The lecture** ties these elements together by providing a detailed explanation of coding processes, from open coding to selective coding, and by stressing the importance of rigorous evaluation through conceptual density, variation, and substantive contributions. - **Coding** serves as the connective thread across all three sources, highlighting its role in organizing and interpreting data within an iterative framework.  - The emphasis on emergent patterns and the evolution of ideas in the lecture aligns with the ethnographic and flexible coding approaches described in **Chapter 12. ** - Meanwhile, the depth and contextual focus discussed in **Chapter 9** are reinforced through the lecture's call for rigorous, evidence-based interpretations.  - Together, these materials provide a unified perspective on how qualitative research methods uncover the nuanced realities of social life.

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