Statistical analysis
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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The Routledge Handbook of Research Methods for Social-Ecological Systems. ed. / Reinette Biggs; Alta de Vos; Rika Preiser; Hayley Clements; Kristine Maciejewski; Maja Schlüter. Abingdon: Routledge Taylor & Francis Group, 2021. p. 252-269.
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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TY - CHAP
T1 - Statistical analysis
AU - Fetzer, Ingo
AU - Piemontese, Luigi
AU - Rocha, Juan C.
AU - Martín-López, Berta
PY - 2021/7/30
Y1 - 2021/7/30
N2 - 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.
AB - 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.
KW - Ecosystems Research
UR - http://www.scopus.com/inward/record.url?scp=85118810333&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/9561af3a-4fbe-3d98-9602-1224c35ddada/
U2 - 10.4324/9781003021339-22
DO - 10.4324/9781003021339-22
M3 - Contributions to collected editions/anthologies
SN - 978-1-032-02076-1
SN - 978-0-367-89840-3
SP - 252
EP - 269
BT - The Routledge Handbook of Research Methods for Social-Ecological Systems
A2 - Biggs, Reinette
A2 - de Vos, Alta
A2 - Preiser, Rika
A2 - Clements, Hayley
A2 - Maciejewski, Kristine
A2 - Schlüter, Maja
PB - Routledge Taylor & Francis Group
CY - Abingdon
ER -