This text provides a reference and treatment of dual scaling methodology. The author begins with examples, followed by an introductory discussion of necessary quantitative skills, and ends with different perspectives on dual scaling with examples, advanced topics, and future possibilities. First Published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
This text provides a reference and treatment of dual scaling methodology. The author begins with examples, followed by an introductory discussion of necessary quantitative skills, and ends with different perspectives on dual scaling with examples, advanced topics, and future possibilities.First Published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.
Contents: Preface. Part I: Background. To Begin With. What Can Dual Scaling Do for You? Is Your Data Set Appropriate for Dual Scaling? Some Fundamentals for Dual Scaling. Useful Quantitative Tools. Mathematics of Dual Scaling. Part II: Incidence Data. Contingency/Frequency Tables. Multiple-Choice Data. Sorting Data. Part III: Dominance Data. Paired Comparison Data. Rank-Order Data. Successive Categories (Rating) Data. Part IV: Special Topics. Forced Classification and Focused Analysis. Graphical Display. Outliers and Missing Responses in Multiple-Choice Data. Analysis of Multiway Data. Additional Topics and Future Possibilities.
Contents: Preface. Part I: Background. To Begin With. What Can Dual Scaling Do for You? Is Your Data Set Appropriate for Dual Scaling? Some Fundamentals for Dual Scaling. Useful Quantitative Tools. Mathematics of Dual Scaling. Part II: Incidence Data. Contingency/Frequency Tables. Multiple-Choice Data. Sorting Data. Part III: Dominance Data. Paired Comparison Data. Rank-Order Data. Successive Categories (Rating) Data. Part IV: Special Topics. Forced Classification and Focused Analysis. Graphical Display. Outliers and Missing Responses in Multiple-Choice Data. Analysis of Multiway Data. Additional Topics and Future Possibilities.
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