JELTE: Journal of English Language Teaching and Education
Vol.2 No.1 2021
E-ISSN: ISSN: 2746-5012
To understand the data, the researcher must familiar with data. The researcher
have to do is reading, re-reading the journals, searching for meaning and so on.
In this phase, it is a good idea to start taking notes or making coding, to help the
researcher start the next phase.
b. General initial codes
There will be a couple ways of coding extract. If coding manually, the
researcher can code the data by writing notes on the journals, by using color pen,
highlighter, and sticky notes. If
using computer software, the researcher code by
tagging and naming selections of text within each data item
.
c.
Search for themes
The third phase is searching for themes. Examine the codes and some of them
clearly fit together into a theme.
d. Review themes
In this phase, the researcher review the coded data extracts for each theme to
consider whether they appear to form a coherent pattern. After that, the researcher
organized the basic themes into global themes.
e. Define and name themes
The fifth phase begins the researcher determine what aspect of the data each
theme captures and identify what is interesting about them and why. Braun and
Clarke (2006: 23) state that theme names need to
be punchy and immediately
give the reader a sense of what the theme is about.
f. Write-up
The last phase is writing the report. The write-up of a thematic analysis should
provide a concise, coherent, logical, non-repetitive, and interesting account of the
data within and International Journal of Qualitative Methods across themes
(Braun & Clarke, 2006: 24).
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