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news:2024:04:12_1712912912 [2024/04/12 11:12] – Seraina Nadignews:2024:04:12_1712912912 [2024/04/12 11:19] (current) – Seraina Nadig
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-=== Information on the event === +==== Information on the event ==== 
-**Date:** Wedensday, April, 24, 2024 (14:15-16:00)\\+**Date:** Wednesday, April, 24, 2024 (14:15-16:00)\\
 **Location:** Online (Zoom)\\ **Location:** Online (Zoom)\\
 **Speaker:** Audrey Bürki\\ **Speaker:** Audrey Bürki\\
 **Registration:** until April 19 to <sandra.schwab@uzh.ch> **Registration:** until April 19 to <sandra.schwab@uzh.ch>
 +**Workshop website:** [[https://www.liri.uzh.ch/en/events/workshops-lectures.html|LiRI Workshops]]
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 +**Description:** Every time a linear model is used to study the impact of a categorical predictor (or factor) on a dependent variable, it is necessary to transform this categorical predictor into numbers. R (or any other statistical software) cannot do math with words. In other words, we need to set the contrasts. Setting the contrasts right will ensure that the model answers the right questions. In this workshop, I will introduce and illustrate different ways to set contrasts and show how contrasts are directly related to research hypotheses.
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 +**Please register by April 19, 2024** to [[<Sandra.Schwab@uzh.ch>|Sandra Schwab]]. The Zoom link will be sent to you upon registration.
  
  
-Every time a linear model is used to study the impact of a categorical predictor (or factor) on a dependent variable, it is necessary to transform this categorical predictor into numbers. R (or any other statistical software) cannot do math with words. In other words, we need to set the contrasts. Setting the contrasts right will ensure that the model answers the right questions. In this workshop, I will introduce and illustrate different ways to set contrasts and show how contrasts are directly related to research hypotheses. 
news/2024/04/12_1712912912.1712913176.txt.gz · Last modified: 2024/04/12 11:12 by Seraina Nadig

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