Abstract
In this chapter I present brief details regarding the ways in which data that arises from the use of a mapping sentence in research is analysed. This is an important aspect of research that is often covered somewhat sparsely in the facet theory literature. I break the chapter into two parts. The first of these deals with the analysis of quantitative data that comes out of the use of a traditional mapping sentence in a research project. The second part of the chapter addresses how the declarative mapping sentence is employed in analysing narrative or other forms of qualitative information that comes from a project that has used a declarative mapping sentence in the design of its research. In my consideration of quantitative analyses, I present the statistical procedures that are employed (smallest space analysis and partial order scalogram analysis) and consider what each of these statistics is able to reveal in the data. Both of these approaches are graphical data analysis procedures, and I also address how the resultant graphical printouts are interpreted. Declarative mapping sentences are not analysed using statistical applications but rather are subject to a structured content analysis, and in this chapter, I offer suggestions regarding the use of such a technique.
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Notes
- 1.
In this chapter I have described this semantic structure in terms of the semantic content of sentences.
- 2.
Quantitative research is also more familiar to avian researchers as they are used in many areas of research into birds and their activities, including bird census studies, which have been widespread for many decades (see Bibby et al. 1992; Taylor et al. 1985), bird migration (Newton 2010; Riddliford and Findley 1981).
- 3.
More comprehensive details of the partial order scalogram analysis technique are given in Chap. 5.
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Hackett, P.M.W. (2020). Analysing Results from Research Using Traditional and Declarative Mapping Sentences. In: The Complexity of Bird Behaviour. Springer, Cham. https://doi.org/10.1007/978-3-030-12192-1_7
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