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Lecture 10

Lecture 10: Qualitative Data Analysis

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Katie Stuart- Lahman

SOCB05 – Lecture 10 – July 18 2013 Qualitative Data Analysis Comparison with Quantitative Data Analysis  Similarities o Both infer from empirical research to reach conclusions o Both involve both public data collection o Both collect and describe large amounts of data o Both involve comparisons  Differences o Different types and numbers of analysis techniques o Different starting points for data analysis o Different relationships between data and social theory o Different degrees of abstraction/distance from social life Definition and Explanation  Non-numerical examination and interpretation of observations, for the purposes of discovering underlying meanings and patterns of relationships.  No need to choose between idiographic/nomothetic technique  Divides explanations into 2 categories: highly unlikely and plausible o Can eliminate an explanation by showing that a lot of evidence contradicts it Coding and Memoing  Coding: the development of concepts and categories to recognize themes. o Refers to applying labels to strips of data that illustrate ideas and concepts and to the continuing process of identifying, modifying and refining concepts and categories that sustain emerging themes and patterns o Some people code line by line, by sentence or by paragraph.  Memoing o Writing of notes and ideas during data analysis about themes, expectations. A reflexive explanation of how you’re analysing your data. o Notes and commentaries concerning ideas, patterns and themes that occurred during the coding process. o Happens at the same time as coding. o The researchers thoughts, interpretations, questions, and directions o Used for:  Identifying a specific aspect of the excerpt that is worth exploring  Note its pattern, significant or uniqueness.  Comment on variations and/or interconnection among repeated instances  Pose unanswered questions Types of Coding  Open Coding o Location of ideas within the data. o Very little analysis is happening at this level. o Open to all possibilities, everything you see is fair game, and try to identify as many themes and ideas as you can.  Axial/Focused Coding o The researcher is developing links among codes, coming up with connections. o Not yet interested in themes, more interested in how things relate to each other. o Developing a refined list by either taking things out, or finding umbrella terms for things that are simi
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