Qualitative Data Analysis

Why Coding Is Important In Qualitative Analysis

Coding can best be described as the process of unifying and categorization data. Coding acts as a manner of labeling, compiling and unifying data. In addition, this also permits the researcher to summarize as well as synthesize the happening in the occurring data (Laureate Education, 2011).  When the acquired data is linked with the interpreted information and analysis center is developed. In qualitative analysis, coding is the process of developing a phrase that figuratively points for visual analysis.  Coding is important in order to develop a central direction for the results as well as the analysis section which should be in support of the developed hypothesis (Miles, Huberman & Saldaña, 2013).

The Differences among Open, Axial, and Selective Coding

Open coding refers to the process of generally reading the acquired data for a number of times and then creating cautious labels to summarize the findings (Miles, Huberman & Saldaña, 2013). The coding is not mainly grounded on the present model rather it is derived from the connotation which is acquired from the acquired data (Miles, Huberman & Saldaña, 2013). On the other hand, Axis coding involves the identification of associations among the acquired open codes (Miles, Huberman & Saldaña, 2013). Selective coding involves the process of figuring out the central variables that are incorporated in the acquired data (Miles, Huberman & Saldaña, 2013). After the establishment then the selected coded are revisited to identify the relationship.

Examples

Open Coding – an example would involve the general recording of the participant’s common terms in order to establish features in every code.

Axial Coding – an example would involve for instance trying to establish the relationship between sentencing disparity and socio-economic status from the responses.

Selective Coding- an example would be that of having the desire to transform of bringing a different to improve individual’s lives.

 

 

 

 

 

 

 

 

 

 

References

Laureate Education, Inc. (2011). Coding practice tool. Baltimore, MD: Executive Producer.

Miles, M. B., Huberman, A. M., & Saldaña, J. (2013). Qualitative data analysis: A methods sourcebook.