When should I use structural coding?
Introduction
In this article, we will look at structural coding. Rather than qualitative coding for meaning, coding for structure means labeling text segments by what they do or what role they play in a genre or textual practice, which can be useful for discourse-related research questions.
What is structural coding?
Researchers often employ thematic coding methods to interpret qualitative data. Consider the following text that might be seen in activist settings: “Solving climate change requires all of us to work together.” Thematically, you can label this sentence with codes such as “climate change” or “problem-solving,” which are useful when your research questions call for examining the substance of textual data.
Looking deeper at structure
However, if your research questions are aimed at examining how text is structured to achieve persuasion, you might consider using structural codes such as “call to action” or “collective change.” These codes don’t refer to the meaning of the text specifically, but they label specific parts of a larger text to identify how activists persuade their audiences.
When should I use structural coding?
The structural coding method is ideal for various reasons and research questions. We’ll examine a few of these purposes in this section.
Discourse analysis
Consider studies with research questions that explore how people talk in an everyday setting. Structural coding for discourse analysis can look at features of discourse such as “open-ended questions,” “disagreement,” and “consensus building” so researchers can identify differences in the use of these features across cultures and contexts.
Exploratory analysis
Within certain features such as “open-ended questions” or “consensus building,” there are bound to be variations. Research questions that call for an inductive approach may employ a structural coding method to identify different kinds of open-ended questions or strategies for building consensus.
Deductive analysis
If your research questions employ an existing theory with defined criteria (e.g., qualities of transformational leadership), you might consider applying structural codes to observational data (e.g., “motivation,” “rapport”) to affirm or challenge that theory.
