Introduction to facet theory : content design and intrinsic data analysis in behavioral research
Author(s)
Bibliographic Information
Introduction to facet theory : content design and intrinsic data analysis in behavioral research
(Applied social research methods series, v. 35)
Sage Publications, c1994
- : pbk
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Note
Includes bibliographical references (p. 175-178) and indexes
Description and Table of Contents
Description
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.
Table of Contents
Facet Theory: A Strategy for Scientific Theory Building
PART ONE: FACET DESIGN: THE SHAPING OF RESEARCH CONTENTS
Mappings and Assignments
Range Facet
An Image of Reality
Formalization of Research Content Design
Domain Facets
Definitions and Hypotheses
The Mapping Sentence
PART TWO: INTRINSIC DATA ANALYSIS: THE STRAIGHT WAY TO HANDLE MULTIVARIATE DATA
Behavioral Theories
Picturing Concepts by Faceted SSA
Behavioral Measurement
Multiple Scaling by POSAC/LSA
by "Nielsen BookData"