Podcast
Questions and Answers
What is the primary purpose of funneling in an interview?
What is the primary purpose of funneling in an interview?
- To begin with general and broad questions and then narrow down to topic specifics (correct)
- To elicit further details or seek clarification
- To repeat what the participant has said without changing the meaning
- To collect a large sample size
What is the benefit of using focus groups in research?
What is the benefit of using focus groups in research?
- To ensure that participants are more forthcoming with their answers
- To provide a collective set of values, experiences, and observations of participants (correct)
- To observe participants in their natural setting
- To collect data through a large sample size
What is the role of the researcher in a 'Complete Observer' type of observation?
What is the role of the researcher in a 'Complete Observer' type of observation?
- The researcher does not participate in the group/community (correct)
- The researcher is immersed in the group/community
- The researcher mainly observes but occasionally enters the field
- The researcher steps into and out of the group/community
What is the primary goal of 'laddered questions' in probing?
What is the primary goal of 'laddered questions' in probing?
What is the starting point of data analysis in qualitative research?
What is the starting point of data analysis in qualitative research?
What is the purpose of paraphrasing in an interview?
What is the purpose of paraphrasing in an interview?
What is the primary purpose of organizing data in qualitative research?
What is the primary purpose of organizing data in qualitative research?
According to Marshall & Ross (1995), what is the most intellectually challenging phase of qualitative data analysis?
According to Marshall & Ross (1995), what is the most intellectually challenging phase of qualitative data analysis?
What is the main benefit of using formal systems in qualitative data analysis?
What is the main benefit of using formal systems in qualitative data analysis?
What is the primary goal of coding techniques in qualitative data analysis?
What is the primary goal of coding techniques in qualitative data analysis?
What is the definition of validity in qualitative research?
What is the definition of validity in qualitative research?
What is the purpose of hearing stories during qualitative data analysis?
What is the purpose of hearing stories during qualitative data analysis?
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Study Notes
Formal Systems for Qualitative Data Analysis
- Formal systems aid researchers in understanding and interpreting qualitative data effectively.
- Key techniques include coding for identifying core ideas, categorizing similar information, and connecting various themes.
Manual Guide by O’Connor & Gibson (2003)
- Provided researchers with a structured manual for analyzing qualitative interviews with a step-by-step process.
- Essential components include a six-step framework for thorough data interpretation.
Steps for Qualitative Data Analysis
- Organizing Data: Utilize the interview guide to distinguish between critical questions/topics and less essential ones.
- Finding and Organizing Ideas: Identify recurring themes, language patterns, and beliefs that link participants and contexts. Focus on frequently used phrases and unexpected responses.
- Building Over-Arcing Themes: Consolidate individual response categories under broader themes for deeper insights.
- Ensuring Reliability and Validity:
- Validity reflects accuracy in measuring intended constructs.
- Reliability indicates consistency across findings, requiring thoroughness in interviews, transcriptions, and analysis.
Interview Techniques
- Funneling: Start interviews with broad questions and gradually narrow down to specific topics.
- Probing: Employ techniques like 'laddered questions' for obtaining deeper insights.
- Paraphrasing: Restate participant responses to ensure clarity without altering meaning.
Focus Groups
- Conducted in group settings to gather a wider range of experiences and perspectives.
- Benefits include larger sample sizes and a more inviting environment for participant engagement.
Observation Methods
- Complete Participant: Researcher fully integrates into the community with covert observation.
- Participant as Observer: Researcher engages intermittently, with open presence.
- Observer as Participant: Researcher primarily observes but occasionally participates, can be known or covert.
- Complete Observer: Researcher only observes without participation, can be known or concealed.
Data Analysis Process
- Begins with familiarizing oneself with the data to inform a comprehensive understanding and interpretation of qualitative findings.
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