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- catalog contributor b3091534.
- catalog created "1991.".
- catalog date "1991".
- catalog date "1991.".
- catalog dateCopyrighted "1991.".
- catalog description "1. Introduction -- Definition of data theory -- Objectives of this monograph -- 2. Measurement -- Measurement as theory testing -- Levels of measurement -- 3. Data theory -- Data as a geometric model -- Coomb's theory of data -- An alternative theory of data -- The importance of data theory -- 4. Dimensionality -- Dimensionality as variation among objects -- Dimensionality as a mathematical model -- Physical versus conceptual dimensions -- Scaling and dimensional analysis -- Scaling results and interpreting dimensions -- 5. Data theory and scaling methods -- Single stimulus data -- Stimulus comparison data -- Similarities data -- Perferential choice data -- Interpretations of data -- 6. Alternating least squares, optimal scaling -- 7. Conclusions.".
- catalog description "Includes bibliographical references.".
- catalog extent "89 p. :".
- catalog identifier "0803941781 (pbk.)".
- catalog isPartOf "Quantitative applications in the social sciences ; no. 07-078".
- catalog isPartOf "Quantitative applications in the social sciences ; no. 07-078.".
- catalog issued "1991".
- catalog issued "1991.".
- catalog language "eng".
- catalog publisher "Newbury Park, Calif. : Sage Publications,".
- catalog subject "300/.01/5195 20".
- catalog subject "H61.27 .J36 1991".
- catalog subject "Scaling (Social sciences)".
- catalog subject "Social sciences Statistical methods.".
- catalog tableOfContents "1. Introduction -- Definition of data theory -- Objectives of this monograph -- 2. Measurement -- Measurement as theory testing -- Levels of measurement -- 3. Data theory -- Data as a geometric model -- Coomb's theory of data -- An alternative theory of data -- The importance of data theory -- 4. Dimensionality -- Dimensionality as variation among objects -- Dimensionality as a mathematical model -- Physical versus conceptual dimensions -- Scaling and dimensional analysis -- Scaling results and interpreting dimensions -- 5. Data theory and scaling methods -- Single stimulus data -- Stimulus comparison data -- Similarities data -- Perferential choice data -- Interpretations of data -- 6. Alternating least squares, optimal scaling -- 7. Conclusions.".
- catalog title "Data theory and dimensional analysis / William G. Jacoby.".
- catalog type "text".