What is coding in data analysis?

In qualitative research, coding is “how you define what the data you are analysing are about” (Gibbs, 2007). Coding is a process of identifying a passage in the text or other data items (photograph, image), searching and identifying concepts and finding relations between them.

What is the difference between open and axial coding?

Axial coding is where connections between the open codes are examined, and used to create larger codes or eventually themes (in the selective coding step). However, as Vollstedt and Rezat (2019) note, “the procedures are neither clear-cut, nor do they easily define phases that chronologically come one after the other”.

What is the connection of open to axial coding?

In other words, using deductive and inductive reasoning, axial coding is a process of looking for relationship identification between open codes. In essence, axial coding seeks to identify central (i.e., axis) phenomena in one’s data. Axial coding is a middle or later stage method for analysis.

What is axial data?

Observations on axes which lack information on the direction of propagation are referred to as axial data. Such data are often encountered in enviromental sciences, e.g. observations on propagations of cracks or on faults in mining walls. We will call such data axial data.

What is an inductive analysis?

In this article, inductive analysis refers to approaches that primarily use detailed readings of raw data to derive concepts, themes, or a model through interpretations made from the raw data by an evaluator or researcher.