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Introduction to Facet Theory: Content Design and Intrinsic Data Analysis in Behavioral Research - Couverture souple

Samuel Shye; Dov Elizur

 
9780803956711: Introduction to Facet Theory: Content Design and Intrinsic Data Analysis in Behavioral Research

Synopsis

Using 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 first part of the book introduces mapping with specific emphasis on mapping sentences. Part Two explores procedures for processing multivariate data. In conclusion there is a discussion of the nature of scientific enquiry and the difference between research questions and observational questions.

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À propos de l'auteur

Research Interests: -Developing a systemic approach as a meta-theory for the study of behavioral action systems; developing facet theory and multiple scaling for measurement as a structural theory. -Application of facet theory and the systemic approach to the study of: -Quality of life (theory, indicators and a basis for motivation theory and decision making) The systemic Quality of life - bibliography list -Distributive Justice (theory and models for the just allocation of social and economic resources) - Artificial and human intelligence; Creativity and creative problem solving (theory, test construction and assessment) - Investigative Psychology and offender profiling (associating crime scenes and offenders′ profiles and developing computer aided procedures) - Other domains (incl. Educational Evaluation; Project assessments; Organizations)

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.