By KathyB - 4/9/2017
Hi, I'm using the Stop Signal Task and noticed that in the code for the stop signal reaction time (SSRT) it says: "for participants who inhibited significantly more or less than 50% of the time the subtraction method to calculate SSRT (see expressions.SSRT) cannot be used". What can I do with these participants? Is there another way I can calculate SSRT for them? Or do I need to exclude them?
Alternatively, if I just want an overall measure of inhibitory control, am I best to just use the z-score and corresponding p value and not worry about SSRT?
Any advice appreciated. Thanks, Kath
|
By Dave - 4/9/2017
+xHi, I'm using the Stop Signal Task and noticed that in the code for the stop signal reaction time (SSRT) it says: "for participants who inhibited significantly more or less than 50% of the time the subtraction method to calculate SSRT (see expressions.SSRT) cannot be used". What can I do with these participants? Is there another way I can calculate SSRT for them? Or do I need to exclude them? Alternatively, if I just want an overall measure of inhibitory control, am I best to just use the z-score and corresponding p value and not worry about SSRT? Any advice appreciated. Thanks, Kath Verbruggen et al. reference Logan (1994) and Logan & Cowan (1984) for alternative calculation methods.
|
By KathyB - 5/6/2017
+x+xHi, I'm using the Stop Signal Task and noticed that in the code for the stop signal reaction time (SSRT) it says: "for participants who inhibited significantly more or less than 50% of the time the subtraction method to calculate SSRT (see expressions.SSRT) cannot be used". What can I do with these participants? Is there another way I can calculate SSRT for them? Or do I need to exclude them? Alternatively, if I just want an overall measure of inhibitory control, am I best to just use the z-score and corresponding p value and not worry about SSRT? Any advice appreciated. Thanks, Kath Verbruggen et al. reference Logan (1994) and Logan & Cowan (1984) for alternative calculation methods. Hi Dave, Thanks for the response. I would like to report the z-score. I have a question about the sign of the z-score generated by the program: does a negative z-score mean that the person inhibited more than 50% of the time or less than 50% of the time? My understanding is that the higher the z-score, the more responses made to stop signals (i.e. more errors). Is this correct? Thank you, Kath
|
By Dave - 5/7/2017
+x+x+xHi, I'm using the Stop Signal Task and noticed that in the code for the stop signal reaction time (SSRT) it says: "for participants who inhibited significantly more or less than 50% of the time the subtraction method to calculate SSRT (see expressions.SSRT) cannot be used". What can I do with these participants? Is there another way I can calculate SSRT for them? Or do I need to exclude them? Alternatively, if I just want an overall measure of inhibitory control, am I best to just use the z-score and corresponding p value and not worry about SSRT? Any advice appreciated. Thanks, Kath Verbruggen et al. reference Logan (1994) and Logan & Cowan (1984) for alternative calculation methods. Hi Dave, Thanks for the response. I would like to report the z-score. I have a question about the sign of the z-score generated by the program: does a negative z-score mean that the person inhibited more than 50% of the time or less than 50% of the time? My understanding is that the higher the z-score, the more responses made to stop signals (i.e. more errors). Is this correct? Thank you, Kath > does a negative z-score mean that the person inhibited more than 50% of the time or less than 50% of the time
So, the z-score is calculated like this: z = (X -Np)/sqrt(Npq)
where
X is the observed number of signal-respond responses, N is the total number of stop-signal trials, p is the "target" probability (.5), i.e. 50%, and q is 1 - p (also .5). sqrt(Npq) is the standard deviation of the binomial distribution.
Example: If there were 64 stop trials and 28 of them were signal-respond responses (i.e. failed inhibitions), the z score would be
z = (28 - (64*0.5)) / sqrt(64*0.5*0.5) = (28 - 32) / sqrt(16) = -4 / 4 = -1
i.e., negative.
The parallel case, if there were 64 stop trials and 36 of them were signal-respond responses, the z score would be
z = (36 - (64*0.5)) / sqrt(64*0.5*0.5) = (36 - 32) / sqrt(16) = 4 / 4 = 1
i.e. positive.
Hope this clarifies.
|
By KathyB - 5/10/2017
+x+x+x+xHi, I'm using the Stop Signal Task and noticed that in the code for the stop signal reaction time (SSRT) it says: "for participants who inhibited significantly more or less than 50% of the time the subtraction method to calculate SSRT (see expressions.SSRT) cannot be used". What can I do with these participants? Is there another way I can calculate SSRT for them? Or do I need to exclude them? Alternatively, if I just want an overall measure of inhibitory control, am I best to just use the z-score and corresponding p value and not worry about SSRT? Any advice appreciated. Thanks, Kath Verbruggen et al. reference Logan (1994) and Logan & Cowan (1984) for alternative calculation methods. Hi Dave, Thanks for the response. I would like to report the z-score. I have a question about the sign of the z-score generated by the program: does a negative z-score mean that the person inhibited more than 50% of the time or less than 50% of the time? My understanding is that the higher the z-score, the more responses made to stop signals (i.e. more errors). Is this correct? Thank you, Kath > does a negative z-score mean that the person inhibited more than 50% of the time or less than 50% of the time So, the z-score is calculated like this: z = (X -Np)/sqrt(Npq) where X is the observed number of signal-respond responses, N is the total number of stop-signal trials, p is the "target" probability (.5), i.e. 50%, and q is 1 - p (also .5). sqrt(Npq) is the standard deviation of the binomial distribution. Example: If there were 64 stop trials and 28 of them were signal-respond responses (i.e. failed inhibitions), the z score would be z = (28 - (64*0.5)) / sqrt(64*0.5*0.5) = (28 - 32) / sqrt(16) = -4 / 4 = -1 i.e., negative. The parallel case, if there were 64 stop trials and 36 of them were signal-respond responses, the z score would be z = (36 - (64*0.5)) / sqrt(64*0.5*0.5) = (36 - 32) / sqrt(16) = 4 / 4 = 1 i.e. positive. Hope this clarifies. Very helpful, thank you. Kath
|
|