kev_bague
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Thanks @andersony3k, I see. However, I have still some difficulties in which such an analysis allow to target failure-groupA vs success-groupB. For me Chi-squared test or Fisher's exact test compute is the proportion of acceptance is different betwe…
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@andersony3k thanks for your helps. With this option, can I have information about the comparison between A-refusing versus B-accepting ?
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Hi @andersony3k Thank you for your answer. I’m going to describe the experiment. In the experiment, Experimenter gives an object A or B to the participants. Next, he asks participants if they want to trade their objects with the alternative objec…
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Thank you @andersony3k. However, my question was if is it possible to target a comparison between two proportions within the contingency table? For example can I conduct a statistical test that compares p2 and p3?
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Hi @andersony3k So in your output p-value compares G2-E and G1-NotE? Is there not influence of G1-E and G2-NotE?
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Thanks for your answer @andersony3k Your output shows the result for the comparison between four proportions. However, I would like just compare G2-E and G1-NotE in your output. It is possible?
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@EJ thank you for your answer, and for this ressource very interesting which helps me. For instance, I'm conducting a linear regression. Frequentist approach shows a non-significant p-value for the model including predictor, that it does not rejec…
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Hello @JohnnyB Thank you very much for your answer very helpful ! We're very lucky to have this software as well as your tips ! Thank you ! Cheers, KB
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Hello, I'm agree with your BF01 and BFexcl interpretation. I mean your analysis is consistent with guideline in this article : Bergh, D. Van Den, Doorn, J. Van, Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., … Wagenmakers, E. J. (2019). A…
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Hi EJ, Thanks for your answer and for your articles which help me to conduct analysis with Bayesian statistics. I have another questions about bayesian ANOVA. How can I analyse simple effect ? Cheers, Kevin Bague
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Hi, If I read your table you have only a main effect of GRP according to classical view of p-value (i.e., p-value < .05 lead to accept H1 and reject H0). Upstairs, you can see the effect of within subject factors and interactions. Downstairs, …