Learning Path
Question & Answer
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Confirmation bias leading to selective theme identification
Over-reliance on quantitative metrics to validate themes
Misinterpretation of context leading to skewed analysis
Oversimplification of complex themes
Rigorous triangulation to ensure data reliability
Understanding the Answer
Let's break down why this is correct
Confirmation bias makes a researcher see only what fits their idea, so themes are chosen to confirm a hypothesis. Other options are incorrect because Some think using numbers can prove a theme, but qualitative work values meaning, not counts; Triangulation is a tool to strengthen trust, not a mistake.
Key Concepts
Qualitative Data Analysis Pitfalls
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Deep Dive: Qualitative Data Analysis Pitfalls
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Definition
Thematic analysis poses certain pitfalls that researchers should be aware of, such as bias, interpretation errors, and oversimplification of themes. Understanding these challenges is crucial for conducting rigorous and reliable qualitative data analysis.
Topic Definition
Thematic analysis poses certain pitfalls that researchers should be aware of, such as bias, interpretation errors, and oversimplification of themes. Understanding these challenges is crucial for conducting rigorous and reliable qualitative data analysis.
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