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＜E-Book＞
Multivariate Humanities / by Pieter M. Kroonenberg
(Quantitative Methods in the Humanities and Social Sciences. ISSN:21990964)

Edition	1st ed. 2021.
Publisher	Cham : Springer International Publishing : Imprint: Springer
Year	2021
Language	English
Size	XXI, 436 p. 148 illus., 123 illus. in color : online resource
Authors	*Kroonenberg, Pieter M author SpringerLink (Online service)
Subjects	LCSH:Social sciences -- Statistical methods  All Subject Search LCSH:Social sciences LCSH:Humanities LCSH:Computational linguistics LCSH:Archaeology LCSH:Digital humanities FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Humanities and Social Sciences FREE:Computational Linguistics FREE:Archaeology FREE:Digital Humanities
Notes	1. Introduction: Multivariate studies in the Humanities -- 2. Data inspection: The data are in. Now what?- 3. Statistical framework -- 4. Statistical framework extended -- 5. Similarity data: Bible translations (coauthor: Zachary Bleemer) -- 6. Stylometry: Authorship of the Pauline Epistles -- 7. Economic history: Agriculture development on Java -- 8. Seriation: Graves in the Münsingen-Rain burial site -- 9. Complex response data: Evaluating Marian art (coauthor: Donald Polzella) -- 10. Rating scales: Craquelure and pictorial stylometry (coauthor: Spike Bucklow) -- 11. Pictorial similarity: Rock art images across the world -- 12 Questionnaires: Public views on deaccessioning (coauthor: Marilena Vecco) -- 13. Sylometry: The Royal Book of Oz: Baum or Thompson?- 14. Linguistics: Accentual prose rhythm in medieval Latin -- 15. Linguistics: Chronology of Plato's works -- 16. Binary judgments: Reading preferences -- 17. Music appreciation: The Chopin Preludes (coauthor: Takashi Murakami) -- 18. Musical stylometry: Characterisation of music (coauthor: Dorien Herremans) -- 19. Final musings This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers. Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis. The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary HTTP:URL=https://doi.org/10.1007/978-3-030-69150-9

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