Multivariate humanities
In: Quantitative methods in the humanities and social sciences
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In: Quantitative methods in the humanities and social sciences
In: Wiley series in probability and statistics
"Applied Multiway Data Analysis presents a unique, thorough, and authoritative treatment of this relatively new and emerging approach to data analysis that is applicable across a range of fields, from the social and behavioral sciences to agriculture, environmental sciences, and chemistry. General introductions to multiway data types, methods, and estimation procedures are provided in addition to detailed explanations and advice for readers who would like to learn more about applying multiway methods. Using carefully laid out examples and engaging applications, the book begins with an introductory chapter that serves as a general overview of multiway analysis, including the types of problems it can address. Next, the process of setting up, carrying out, and evaluating multiway analyses is discussed along with commonly-encountered issues, such as preprocessing, missing data, model and dimensionality selection, postprocessing, transformation, as well as robustness and stability issues"--Provided by publisher
In: Sociological methods and research, Band 14, Heft 2, S. 99-136
ISSN: 1552-8294
The exploratory role three-mode principal component analysis can play in analyzing multivariate longitudinal organizational data is outlined by an exposition of the technique itself, and by its application to organizational data from Dutch hospitals. Relationships with some other techniques for such data are indicated.
In: Bain , P , Kroonenberg , P M , Johansson , L-O , Milfont , T , Crimston , C , Kurz , T R , Bushina , E , Calligaro , C , Demarque , C , Guan , Y & Park , J 2019 , ' Public views of the Sustainable Development Goals across countries ' , Nature Sustainability , vol. 2 , no. 9 , pp. 819-825 . https://doi.org/10.1038/s41893-019-0365-4
The United Nation's 17 Sustainable Development Goals (SDGs) offer an extensive framework for coordinating and shaping government policies, and for engaging the public with sustainability. Public understanding of the SDGs and sustainability can influence this engagement, as people are more likely to accept and share information consistent with their own understanding. We identify public understandings of SDGs through mental maps of how people relate the SDGs to environmental, social and economic sustainability. Using responses from 12 developed/developing countries (n = 2,134), we identified four mental maps that varied mainly on two dimensions, which diverged from some expert models. Some people's mental maps identified tension between achieving environmental versus social sustainability, whereas for others the tension was between economic sustainability and the other two sustainability elements. Some people related different SDGs to each element of sustainability, whereas others saw all SDGs as targeting the same sustainability element(s). These findings highlight opportunities and challenges to engage the public with sustainability more effectively, especially with wide-ranging initiatives such as a Green New Deal. We observed cultural differences but we also identified a dominant mental map across countries that could serve as a default model for communicating sustainability internationally.
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