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Doing your phd and going for a doctorate abroad
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Weaknesses of the Bayesian approach are:
- The prior is subjective
- Bayesian analysis force people to consider what a theory actually predicts, but specifying the predictions in detail may by contentious
- Bayesian analysis escape the paradoxes of violating the likelihood princ...
While the specific steps might differ slightly depending on the research methodology and field, generally, the seven steps of the research process are: 1. Identify and Develop Your Topic:
- Start with a broad area of interest and refine it into a specific research question.
- Consider ...
While establishing causality is a cornerstone of scientific research, it's crucial to remember that it's not always a straightforward process. Although no single condition guarantees definitive proof, there are three key criteria that, when met together, strengthen the evidence for a causal relation...
The Bayes factor (B) compares the probability of an experimental theory to the probability of the null hypothesis. It gives the means of adjusting your odds in a continuous way.
- If B is greater than 1, your data support the experimental hypothesis over the null
- If B is less than 1,...
Hulp nodig bij Statistiek en Onderzoeksmethoden? Check out de Methodologiewinkel van de Universiteit van Amsterdam! Op deze wiki vind je informatie over de statistische aspecten van wetenschappelijk onderzoek. Deze wiki is gemaakt door researchmaster studenten van de opleiding psychologie. Zij hebbe...
The main difference between the P-value and the likelihood of Bayes is:
- P-value is the chance at obtaining the data of more extreme data given the null-hypotheses and the used procedure
- The likelihood (by H0) is the chance of the data given the null-hypotheses
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