
Enhancing the Quality of the Findings of a Longitudinal Case Study: Reviewing Trustworthiness via ATLAS.ti
Author(s) -
Chooi Kean Ang,
Mohamed Amin Embi,
Melor Md Yunus
Publication year - 2016
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2016.2480
Subject(s) - computer science , thematic analysis , triangulation , data collection , audit , quality (philosophy) , data science , data quality , qualitative research , sociology , epistemology , service (business) , management , cartography , economy , economics , geography , social science , philosophy
Case study often implies the collection of unstructured data and qualitative analysis of those data. Additionally, it is often argued that the aim of case study research should be to capture cases in their uniqueness, rather than to use them as a basis for wider generalization or theoretical inference of some kind. Hence, it often raises a fundamental issue about the aspect of trustworthiness. This paper aims to examine the extent of support by using ATLAS.ti for data analysis in establishing trustworthiness in a longitudinal case study. The case study is on the use of e-portfolio as a continuing professional development tool for six Japanese language non-native teachers in the secondary schools in Malaysia. This study adopts the interpretivist perspective and uses three main strategies: triangulation (data and methodological triangulation), member checking and audit trail to establish trustworthiness. The use of ATLAS.ti does indeed help to substantiate the analysis and interpretation of the data. Additionally, by using the software programme, it facilitated the three strategies, specifically in capturing triangulation and audit trail of the longitudinal study with its features of merging code and memo, and member checking with its thematic network viewing or an alternative textual report features. Particularly, the researchers advocate the use of CAQDAS in a longitudinal study as it enables the analysis of various data collected under different project files; called “Hermeneutic Units” at the different phases throughout the period of study and subsequently by merging them together at the end of the study, it allows the richness of the analysed data and thus, enhances the quality of the qualitative inquiry in this study.