Aimed at helping determine whether a given data analysis technique can answer the questions that a researcher is asking of the data, this volume presents facet theory (FT) as a methodological approach that combines content design and data analysis. Following a brief overview of FT design, FT data analysis, and the correspondence hypotheses between the two, the authors consider the role facets play in observations and equivalence relations and discuss mapping sentences and their common range, constructing questionnaire items, correspondence hypotheses relating to FT design, bivariate regression hypotheses, and how to analyze data profiles with hypotheses for structuples and similarity structures. The authors conclude by addressing issues of using FT in practice, including measurement theory and significance testing. Using real-life examples, this book is appropriate for the student or researcher with either little or moderate familiarity with facet theory.
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