Statistical analysis

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Chapter 18 deals with statistical methods, which are mathematical tools that can help aggregate, present and explore complex datasets from various sources. These methods can be very useful for understanding interactions, dependencies and relationships between social and ecological variables. The chapter discusses descriptive statistics, regression models, multivariate regression analysis, group comparison, clustering and non-metric dimensional scaling, principal component analysis, redundancy analysis, canonical correspondence analysis, factor analysis, multiple correspondence analysis, and time series analysis. It goes on to discuss the types of social-ecological systems (SES) problems and research questions commonly addressed by this set of methods, as well as their limitations, resource implications and new emerging research directions. The chapter also includes an in-depth case study showcasing the application of statistical analyses, and suggested further readings on these methods.
Original languageEnglish
Title of host publicationThe Routledge Handbook of Research Methods for Social-Ecological Systems
EditorsReinette Biggs, Alta de Vos, Rika Preiser, Hayley Clements, Kristine Maciejewski, Maja Schlüter
Number of pages18
Place of PublicationAbingdon
PublisherRoutledge Taylor & Francis Group
Publication date30.07.2021
Pages252-269
ISBN (print)978-1-032-02076-1, 978-0-367-89840-3
ISBN (electronic)978-1-003-02133-9
DOIs
Publication statusPublished - 30.07.2021

DOI

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