Pattern coding groups qualitative data into sets, themes, and constructs.
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Structural coding when you to take a large set of semi-structured data, and structure it into smaller pieces for further analysis.
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Initial coding is where you break down your qualitative data into discrete excerpts and create codes to label them with.
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This article covers all things line-by-line coding, shedding light on how this method works and providing a step-by-step guide to the process.
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This article introduces emotion coding in qualitative research and offers a guide on using it effectively.
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Holistic coding is a qualitative approach to data analysis that involves assigning a single code to a data unit, such as a paragraph, transcript, or entire corpus, to capture its overall meaning. This article offers an interpretation of Saldaña's work on holistic coding and a practical guide for applying it to your research.
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Magnitude coding is a coding method where researchers add an alphanumeric or symbolic code to an existing code. The magnitude code helps indicate the intensity, frequency, direction, presence, evaluative content, or absence of a characteristic within these initial codes.
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Johnny Saldaña, in his book The Coding Manual for Qualitative Researchers (2012), offers a concise overview of elaborative coding. We summarize his interpretation in this article.
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This article explores the differences between interpretative phenomenological analysis (IPA) and thematic analysis (TA), including these philosophical differences, techniques, situational considerations, and the possible benefits of combining them.
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Simultaneous coding is a method of qualitative coding where a single excerpt of data is coded with multiple codes.
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Decide if you want to start off with a set of codes and stick with them (deductive coding), come up with the codes as you read what you see in your data (inductive), or take a combination approach.
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Values coding deals with labeling the values, attitudes and belief systems that are expressed by participants.
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Process coding is helpful when you want to understand actions in the data. You can catalogue observable activities or conceptual actions.
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Descriptive coding is where you code passages according to topic in order to summarize the topic of the data.
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In vivo codes utilize the language and terminology used by the participants rather than alternative methods where codes are researcher-derived.
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