Overview
- Includes chapter-level datasets in SPSS
- Features case studies, examples, and problems from a large variety of sub-disciplines
- Emphasizes data visualization with graphical illustrations of results
- Includes supplementary material: sn.pub/extras
Part of the book series: Quantitative Methods in the Humanities and Social Sciences (QMHSS)
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Table of contents (20 chapters)
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Front Matter
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The Scenes
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Front Matter
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Keywords
About this book
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets 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. Datasets in SPSS are included online.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Multivariate Humanities
Authors: Pieter M. Kroonenberg
Series Title: Quantitative Methods in the Humanities and Social Sciences
DOI: https://doi.org/10.1007/978-3-030-69150-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69149-3Published: 29 June 2021
Softcover ISBN: 978-3-030-69152-3Published: 30 June 2022
eBook ISBN: 978-3-030-69150-9Published: 29 June 2021
Series ISSN: 2199-0956
Series E-ISSN: 2199-0964
Edition Number: 1
Number of Pages: XXI, 436
Number of Illustrations: 25 b/w illustrations, 123 illustrations in colour
Topics: Statistics for Social Sciences, Humanities, Law, Humanities and Social Sciences, multidisciplinary, Computational Linguistics, Archaeology, Digital Humanities