367x Filetype PPTX File size 0.11 MB Source: portal.abuad.edu.ng
DATA ANALYSIS
•The purpose of data analysis is to organised, provide
structure to and elicit meaning from the research data
•Qualitative analysis is very tasking and requires insight,
ingenuity, creativity, conceptual sensitivity and sheer
hard work (Polit & Hungler, 2001)
•As recognised by Parahoo (2006), data analysis in
qualitative research start when the data is being
collected and there after the researcher make judgement
based on the data that is gotten relating it to the
phenomenon that is under study.
DATA ANALYSIS CONTD
• Jacelon and O’Dell (2005) said researcher serves as
the instrument of data analysis because he explore
and reflect on what have been discussed during the
interview process
• After gathering life world descriptions of personal
experience, each account become a ‘text’ that is
ready for the analysis of meaning and for the
formulation of these meaning into a coherent story
of inter-related themes and insight
DATA ANALYSIS CONTD
• Analysis of qualitative data (interview) involves
transcribing of data verbatim and the
researcher should make sure that it is
accurately transcribed.
• Another step is organising data into classes and
indexing them and data gotten is converted into
smaller, more manageable unit that can be
retrieved and review.
• The next step is encoding of schemes i.e placed
into themes and categories (Polit & Beck, 2010).
ANALYSING QUALITATIVE DATA
Reading Coding
On field
Interpreting
Post field
Reducing Displaying
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CONTENT ANALYSIS
• Content analysis is an approach used to quantify
content in terms of predetermined categories and
in a systematic and replicable manner (Bryman,
2012).
• Content analysis is an important strategy based on
listing, counting and categorising participants’
words into text
• In content analysis, the most frequent word
spoken or used by the participants is written
down and the number of occurrence is noted and
put in relevant text
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