Multivariate Humanities

This textbook emphasizes descriptive, exploratory analyses of multivariate data from various humanities sub-disciplines, using methods such as principal component analysis, correspondence analysis, and cluster analysis. It features 14 case studies with graphical representations and concludes with conceptual summaries.

Format: Paperback / softback
Length: 436 pages
Publication date: 29 June 2022
Publisher: Springer Nature Switzerland AG

This comprehensive textbook in multivariate analysis for advanced students in the humanities focuses on conducting descriptive, exploratory analyses of diverse datasets from various sub-disciplines. It emphasizes the use of multivariate analysis and showcases its broad applicability across different fields. The featured fields encompass historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most of the analyses are based on existing data previously analyzed in peer-reviewed publications.

To provide a solid technical foundation for the case studies, the book includes four preliminary methodological and statistical chapters. These chapters cover data inspection, principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis, among other multivariate statistical techniques.

The heart of the text is composed of 14 comprehensive case studies, each accompanied by detailed graphical representations of statistical information. These case studies employ descriptive statistical techniques to support substantive conclusions. Each study begins with a description of the substantive background of the data, followed by a discussion of appropriate multivariate techniques. The results are then interpreted through graphical illustrations, providing a clear understanding of the analyzed data.

To enhance the learning experience, datasets in SPSS are made available online, allowing students to explore and analyze the data further.

This textbook is an invaluable resource for advanced students seeking to expand their knowledge and expertise in multivariate analysis, providing them with a solid foundation to apply this powerful tool in their research endeavors across various humanities disciplines.

Weight: 700g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030691523
Edition number: 1st ed. 2021