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== Welcome to Sustainability Methods! ==
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== Welcome to the ''Sustainability Methods Wiki!'' ==
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The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:
  
=== Day 1 - Intro ===
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{{ContentGrid
# [[Why statistics matters|Do models and statistics matter?]] Why does it pay to be literate in statistics and R?
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# Getting concepts clear: Generalisation, Sample, and Bias
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#:- See also, [[Misunderstood concepts in statistics|misunderstood concepts]]
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# [[Why statistics matters#A very short history of statistics|History of statistics]]
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=== Day 2 - Data formats based on R ===
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{{InfoCard
# [[Data formats#Continuous data|Continuous vs. categorical, and subsets]]
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|heading = [[Courses]] | class = center |
# [[Data distribution|Normal distribution]]
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# Poisson, binomial, Pareto
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<nowiki></nowiki>
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This section revolves around '''curated selections of Wiki entries (and more)''' as introductions to specific topics.
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}}
  
=== Day 3 - Simple tests ===
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{{InfoCard
# [[Simple Tests|Parametric and non-parametric]]
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|heading = [[Methods]] | class = center |
# [[Hypothesis building|Hypothesis testing]]
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# [[Designing studies#P-value|The power of probability]]
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<nowiki></nowiki>
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Methods are at the heart of scientific research. '''Learn about the most important methods in Sustainability Science - and beyond.'''
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}}
  
=== Day 4 - Correlation and regression ===
 
[[https://sustainabilitymethods.org/index.php/Correlations_and_regressions|What are correlation and regressions]]
 
  
== Causal vs non-causal relations ==
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}}
  
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{{ContentGrid
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<!--
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nowiki markers are added so the first bullet in the list are rendered correctly!
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#:- See also, [[Misunderstood concepts in statistics#Correlation|misunderstood concepts]]
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{{InfoCard
# Are all correlations causal?
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|heading = [[Hacks, Habits & Tools]] | class = center |
# Is the world linear?
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|content =
# Transformation
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<nowiki></nowiki>
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Every type of work can be facilitated through appropriate Hacks, Habits & Tools. '''Dive in and learn something new!'''
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}}
  
=== Day 5 - Correlation and regression ===
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{{InfoCard
# [[Designing studies#P-value|P values]] vs. [[Designing studies#Sample size|sample size]]
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|heading = [[Normativity of Methods]] | class = center |
# Residuals
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# Reading correlation plots
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<nowiki></nowiki>
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The choice of methods influences the knowledge we produce. '''Here you can learn more about this relation.'''
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}}
  
=== Day 6 - Designing studies Pt. 1 ===
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# How do I compare more than two groups?
 
# Designing experiments - degrees of freedom
 
# One way and two way
 
  
=== Day 7 - Designing studies Pt. 2 ===
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== First time visitor? ==
# Balanced vs. unbalanced - Welcome to the Jungle
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'''Please watch this short introduction to the Wiki.'''
# [[Designing studies#Block effects|Block effects]]
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{{#evu:https://www.youtube.com/watch?v=MjlJTjzLg6M
# Interaction and reduction
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|alignment=center
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}}
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<br/>
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* Have a look at the '''[[Sustainability_Methods:About|About]] page.''' Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.
  
=== Day 8 - Types of experiments ===
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* Now you can get started! '''Pick a section above''' and choose one or more entries to learn about. <br/>
# Are all laboratory experiment really made in labs?
 
# Are all field experiment really made in fields?
 
# What are natural experiments?
 
  
=== Day 9 - Statistics from the Faculty ===
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* If you do not know which methods to start with, have a look at the '''[https://sustainabilitymethods.org/method_recommendation_tool Method Recommendation Tool]'''!
  
=== Day 10 - Statistics down the road ===
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* You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:
# Multivariate Statistics
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{{Special:NewestPages/-/5}}
# AIC
 
  
=== Day 11 - The big recap ===
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__NOTOC__
# Distribution & simple test
 
# Correlation and regression
 
#:- See also, [[Misunderstood concepts in statistics|misunderstood concepts]]
 
# [[Analysis of Variance]]
 
 
 
=== Day 12 - Models ===
 
# Are models wrong?
 
# Are models causal?
 
# Are models useful?
 
 
 
=== Day 13 - Ethics and norms of statistics ===
 
# What is informed consent?
 
# How does a board of ethics work?
 
# How long do you store data?
 
 
 
 
 
View [https://sustainabilitymethods.org/index.php/Special:AllPages All Pages].
 
 
 
== Admin Tools ==
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
 
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]
 

Latest revision as of 14:28, 2 April 2024

Welcome to the Sustainability Methods Wiki!

The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:

Courses

This section revolves around curated selections of Wiki entries (and more) as introductions to specific topics.

Methods

Methods are at the heart of scientific research. Learn about the most important methods in Sustainability Science - and beyond.

Hacks, Habits & Tools

Every type of work can be facilitated through appropriate Hacks, Habits & Tools. Dive in and learn something new!

Normativity of Methods

The choice of methods influences the knowledge we produce. Here you can learn more about this relation.

First time visitor?

Please watch this short introduction to the Wiki.


  • Have a look at the About page. Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.
  • Now you can get started! Pick a section above and choose one or more entries to learn about.
  • You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:
  1. Second Brain
  2. Connecting Git with Github
  3. Four qualities of academia
  4. Functions in Python
  5. Loops in Python