SHS Web Conf.
Volume 53, 2018International Conference on Humanities and Social Sciences (ICHSS 2018)
|Number of page(s)||7|
|Published online||16 October 2018|
Data coding for indigenous language research: attaching local meanings in generating categories and themes
Department of Management and Humanities, Universiti Teknologi PETRONAS, Seri Iskandar, 32610 Perak Malaysia
* Corresponding author: email@example.com
Data analysis in qualitative research is the most complex phase of a study and covers a broad range of approaches with different variation in concepts, assumptions and analytic rules. It involves creating analytic categories reflecting the experiences of participants and highlighting the significance of cultural events happening in the research setting. Accordingly, thematic analysis of data is conducted to examine systematically the content of data to identify recurrent patterns in participants’ response and their understanding of their social world. In this paper, I describe the development of categories and themes in a study designed to examine the perceptions on language and identity of Kayan elders in Sarawak, Malaysian Borneo. It demonstrates the analytic rigour in the stages of coding, and offers a rationale for initial coding in the indigenous language. This paper concludes with suggestion for considering indigenous language in coding as it enables the researcher to unpack layers of meanings that are embedded in the cultural context, thereby, enhancing richness of the analysis.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.