Data Analysis—Coding in Qualitative Research

Data analysis is the most demanding and most central aspect of qualitative research. Coding is one of the significant steps taken during analysis to organize and make sense of literal data. Coding in qualitative research inquiry is described as often a word or phrase that ideally annotate a summary of some parts and parcel of visual or language data (Saldaña, 2016). One of the most important reasoning for transcript coding is how we could try to organize coding according to unique features and characteristics (Laureate Education, 2016). By doing so, we are separating what is more important from the general ideas. Many analyses of qualitative data begin with the identification of key themes and patterns. This, in turn, often depends on processes of coding data.

References

Kundert, J. (2012). Battling drug addiction in the heartland [Video file].

Laureate Education (Producer). (2016). Theoretical lens and frameworks for qualitative researchers [Video file]. Baltimore, MD: Author.

Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). Thousand Oaks, CA: Sage Publications.