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help > RE: modeling interaction with continuous predictors
Mar 11, 2022 07:03 AM | Andrew Zalesky
RE: modeling interaction with continuous predictors
Hi Selma,
I am not sure if I understand your question. A t-value can be converted to an f-value by squaring the t-value. That is, f = t^2.
Significance is computed internally using permutation testing and it is not possible to determine a priori the f-value that will yield a significant result.
Andrew
Originally posted by Selma Lugtmeijer:
I am not sure if I understand your question. A t-value can be converted to an f-value by squaring the t-value. That is, f = t^2.
Significance is computed internally using permutation testing and it is not possible to determine a priori the f-value that will yield a significant result.
Andrew
Originally posted by Selma Lugtmeijer:
Hi,
this post and the reply have been of great help!
I do have a question concerning the F-value for the threshold in this situation. How do you calculate which F-value is significant at p < .01 when testing in 1 group the effects of age, behaviour, and their interaction?
The T-value I am using is 2.622 based on a significance level of < .01 and a DF of 110 (111 subjects). Is that correct?
Many thanks,
Selma
this post and the reply have been of great help!
I do have a question concerning the F-value for the threshold in this situation. How do you calculate which F-value is significant at p < .01 when testing in 1 group the effects of age, behaviour, and their interaction?
The T-value I am using is 2.622 based on a significance level of < .01 and a DF of 110 (111 subjects). Is that correct?
Many thanks,
Selma
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Title | Author | Date |
---|---|---|
Hamed Zivari | Dec 8, 2021 | |
Selma Lugtmeijer | Mar 10, 2022 | |
Andrew Zalesky | Mar 11, 2022 | |
Selma Lugtmeijer | Mar 11, 2022 | |
Andrew Zalesky | Mar 11, 2022 | |
Marius Gruber | Dec 22, 2021 | |
Andrew Zalesky | Dec 22, 2021 | |
Andrew Zalesky | Dec 8, 2021 | |