Quantitative data – How to test your hypothesis? (ECSS)

Determining the right evaluation strategy for one's own research hypothesis can be challenging, partly because statistical programmes such as SPSS do not check whether the chosen test fits the level of the data, but calculate every form of analysis. This is where the Masterclass comes in: the aim is to arrive at a suitable analysis strategy based on the hypothesis. SPSS will be used as an example when it comes to application-related hints. Basic questions and answers on this topic will be dealt with independently of the statistical programme.

Important stations of the Masterclass are: which data level can quantitative data assume and which evaluation possibilities result from it? Which test fits the hypothesis and which prerequisites must be fulfilled? SPSS is addressed as an example of a possible programme to use. If participants would like to discuss their own hypotheses and evaluation strategies, they shall contact the Masterclass leader in advance via email to examine to what extent this can be made possible.

Date: Tuesday 4 July, 14:30–16:00, 16:30–18:00
Lecture room: 342A

Professor Miriam Seyda
Dortmund Technical University, Department of Sports and Sports Science, Dortmund, Germany
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