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help > RE: Tool--> Calculator--> how to read second-level covariates
Dec 24, 2022 01:12 AM | Alfonso Nieto-Castanon - Boston University
RE: Tool--> Calculator--> how to read second-level covariates
Hi Antony
Those results indicate that connectivity within that cluster shows a negative association with the SRS_Tot measure across subjects, where connectivity with that cluster is relatively strong and positive in subjects with low/negative SRS_Tot values, while connectivity is relatively weak (or absent / no connectivity) in subjects with high/positive SRS_Tot values.
Hope this helps
Alfonso
Originally posted by antobol:
Those results indicate that connectivity within that cluster shows a negative association with the SRS_Tot measure across subjects, where connectivity with that cluster is relatively strong and positive in subjects with low/negative SRS_Tot values, while connectivity is relatively weak (or absent / no connectivity) in subjects with high/positive SRS_Tot values.
Hope this helps
Alfonso
Originally posted by antobol:
Hi Alfonso,
I have run all levels of analysis and would like to ask you for help with the interpretation of the second-level covariates.
I selected: allSubject and SRS_Tot, effect of SRS_Tot, in measures the cluster rest_R-PI and
in Between-measures contrast the effect of the cluster.
I have these results beta = -0.0041 T(56) = -4.44 p = 0.999979 (two-sided p = 0.000043) with R^2=0.26 (attached image).
If I am not mistaken, the result is significant because of the "two-sided p".
Is that right? How do I interpret the results?
Thanks for your help!
Antony
I have run all levels of analysis and would like to ask you for help with the interpretation of the second-level covariates.
I selected: allSubject and SRS_Tot, effect of SRS_Tot, in measures the cluster rest_R-PI and
in Between-measures contrast the effect of the cluster.
I have these results beta = -0.0041 T(56) = -4.44 p = 0.999979 (two-sided p = 0.000043) with R^2=0.26 (attached image).
If I am not mistaken, the result is significant because of the "two-sided p".
Is that right? How do I interpret the results?
Thanks for your help!
Antony
Threaded View
| Title | Author | Date |
|---|---|---|
| antobol | Dec 19, 2022 | |
| Alfonso Nieto-Castanon | Dec 24, 2022 | |