164x 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 5 5 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
no reviews yet
Please Login to review.