Introduction to facet theory : content design and intrinsic data analysis in behavioral research

書誌事項

Introduction to facet theory : content design and intrinsic data analysis in behavioral research

Samuel Shye, Dov Elizur with Michael Hoffman

(Applied social research methods series, v. 35)

Sage Publications, c1994

  • : pbk

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注記

Includes bibliographical references (p. 175-178) and indexes

内容説明・目次

内容説明

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.

目次

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

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