Samuel Shye

Ingwer Borg

Facet Theory (FT) is presented in this volume 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 in detail: 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. In conclusion, the issues of using FT in practice including measurement theory and significance testing are addressed.

Form and Content

Facet Theory

Dov Elizur

Dr. Michael Hoffman

"As an introduction to facet theory, this book is good. . . . Many simple examples." --Publication of International Statistical Institute Through the use of detailed examples, the authors introduce readers to the use of facet theory as a method for integrating content design with data analysis. They show how facet theory provides a strategy for conceptualizing a study, for formulating the study's variables in terms of its purposes, for systematic sampling of the variables, and for formulating hypotheses. The book is organized into two parts. Part I introduces the reader to mapping with specific emphasis on mapping sentences, and Part II explores procedures for processing multivariate data. The book concludes with a discussion of the nature of scientific inquiry and the difference between a research question and observational questions. Introduction to Facet Theory will provide researchers with a useful technique for constructing questionnaires and for designing research instruments.

Samuel Shye

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