Response times (RTs) were log-transformed to meet the assumption of normal distribution. The mean ± SD is reported. For correlational analyses, Pearson’s r is reported. To test whether participants might have been aware of differences between real and sham stimulation, we used Bayesian paired t tests to test for differences between their ratings of stimulation effectiveness and discomfort (JASP software version 0.14.3). We used Bayesian tests to be able to test for the absence of an effect. Bayes factors are classified according to the scheme of Jeffreys [1998 ; Bayes Factor (BF) = 1–3, anecdotal evidence; BF = 3–10, moderate evidence; BF = 10–30, strong evidence; BF = 30–100, very strong evidence; BF > 100, extreme evidence]. BF10 denotes evidence in favor of a given model against the null model, while BF01 denotes evidence in favor of the null model (Keysers et al., 2020 (link)).
Statistical Analysis of Behavioral Responses
Response times (RTs) were log-transformed to meet the assumption of normal distribution. The mean ± SD is reported. For correlational analyses, Pearson’s r is reported. To test whether participants might have been aware of differences between real and sham stimulation, we used Bayesian paired t tests to test for differences between their ratings of stimulation effectiveness and discomfort (JASP software version 0.14.3). We used Bayesian tests to be able to test for the absence of an effect. Bayes factors are classified according to the scheme of Jeffreys [1998 ; Bayes Factor (BF) = 1–3, anecdotal evidence; BF = 3–10, moderate evidence; BF = 10–30, strong evidence; BF = 30–100, very strong evidence; BF > 100, extreme evidence]. BF10 denotes evidence in favor of a given model against the null model, while BF01 denotes evidence in favor of the null model (Keysers et al., 2020 (link)).
Corresponding Organization :
Other organizations : Copenhagen University Hospital, Bispebjerg Hospital, Hvidovre Hospital, University of Copenhagen
Variable analysis
- Motor context (act to continue, act to stop)
- RTMS condition (real-rTMS, sham-rTMS)
- Session number (session 1, session 2)
- Mean stopping amounts
- Response times (RTs)
- Participants' ratings of stimulation effectiveness and discomfort
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!