Through topic coding and classification, as well as comparison and analyses, an organizational hierarchy and sub-hierarchy were established to clarify the research structure and provide a reference for successive research. These labels are then used for encoding CAQDAS to establish the so-called “Case” and “Node” to clarify the research topic’s organizational and secondary levels.

The most meaningful and representative labels are obtained through cluster analysis. Such collected “Sources” are integrated contextually, and the contents are coded and defined for transformation into “Nodes.” When the “attribute value” is added into the coding process, it becomes “Cases.” In other words, “Cases” can be regarded as “Nodes with attribute data.” Set “Cases” with the same attribute value can be gathered together with the coding function in NVivo queries. NVivo helps users systematically organize such information with context and in a mutual relationship. Data sources of text records, relevant literature, records, videos, and social networking sites after interviews are often used in qualitative research. However, the potential limitations include an inability to have a large sample number and the biases caused by the cultural, regional, or personal characteristics of the subjects.Īmong the distinct computer-assisted qualitative data analysis software, NVivo is currently the most popular qualitative research software with complete functions. This study proposes a new method using visual language translation and SBE that combines the features of qualitative research and quantitative analysis. Furthermore, we also employ the scenic beauty estimation (SBE) method for a comparison between the qualitative and quantitative analyses. This study uses questionnaire analysis and on-site surveys to summarize the elements, representations, and perceptions of the mountain stream facilities of the subjects concerned to examine their preferences for the visual system. First, mountain stream engineering projects are selected as the research objects. It also addresses the shortcomings of previous quantitative analysis methods, in which the topic discussions are too limited. This method is different from a traditional qualitative narrative analysis. This research is the first attempt to use visual language translation in qualitative research analysis for the landscape assessment of mountain stream facilities. In recent years, in addition to safety concerns, the focus has increasingly been on landscape assessment or the sense of integration with the environment. The aesthetic design of mountain stream facilities has not received much attention in Taiwan.

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