![]() The proponents of these contrasting models have so far presented little empirical evidence to support their claims. I refer to this as the repertoire-enhancement model. ![]() The alternative viewpoint suggests that the development of CAQDAS is only one of a number of options for qualitative data analysis but one which offers unique advantages. The effect of this is to create homogeneity in analytical approaches which is detrimental in a number of ways. One, the convergence model, suggests that CAQDAS contains inherent characteristics which drive data analysis approaches in a consistent direction. This paper uses evidence from a research project to test the competing propositions and conclusions of two viewpoints on the impact of computer aided qualitative data analysis (CAQDAS). two-tier coding, we get multiple options for grouping metaphors into systematic sets. Furthermore, by tagging metaphors for image-schematic and rich semantic source domains in parallel, i.e. tagging source and target domains separately (instead of adopting a “one mapping-one code” strategy). When we aim at complex data searches and want to handle high metaphor diversity I recommend compositional coding, i.e. My second task is to illustrate how a good research design can provide a step-wise procedure, offer systematic validation checks, keep the code system slim and many analytic options open. Software not only streamlines metaphor tagging itself, it systematizes the interpretive work from grouping text items into systematic/conceptual metaphor sets, via data surveys and checks, to quantitative comparisons and a cohesion-based analysis. ![]() My first task is to pinpoint typical tasks and demonstrate how they are optimally dealt with by using qualitative annotation software like ATLAS.ti. Qualitatively oriented scholars have to make difficult decisions revolving around the general research design, the transfer of linguistic theory into method, good workflow management, and the aimed at scope of analysis. a context-sensitive manual coding of a text corpus) is concerned. Despite a welcome recent swing towards methodological reflexivity, a detailed explication of the pros and cons of different procedures is still in order as far as qualitative research (i.e. This article presents a software-based methodology for studying metaphor in discourse, mainly within the framework of Conceptual Metaphor Theory (CMT).
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