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Devin Burns
เข้าร่วมเมื่อ 1 มี.ค. 2007
Six year old sings Winter's Come and Gone
Here is my six year old daughter singing one of her favorite songs, Gillian Welch's "Winter's Come and Gone"
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วีดีโอ
Sensation and Perception Overview
มุมมอง 5919 ปีที่แล้ว
A review of our 5 senses and how they inform us about the world
The Science of Studying
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A ~30 min lecture on what psychological science tells us about the most efficient study methods.
Signal Detection Theory
มุมมอง 111K11 ปีที่แล้ว
A 30 min lecture about the basics of signal detection theory, designed for my Cognitive Psychology course at Indiana University.
How to play "Isabel" by Mason Jennings on guitar
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I couldn't find chords anywhere for this, so I figured it out. Maybe not the best performance, but it should teach you how to do it yourself!
university of Zebras
Thanks a lot!
Awesom!!!
Watching it after exact 11 years of posting (Sept 16, 2024) Hope your 11y/o baby is doing well:)))
can you pls provide me the slides?
we could talk about that, you can email me at burnsde@mst.edu
Hi, viewing this 10 years later and wondering... how is the kid?
lol! She’s good: loves reading the Rick Riordan mythology books, being in plays, and playing Zelda with me 😊
Gayet güzel:)
THIS IS SO GREAT EXPLAINED. THANK YOU!!! its these moments that make you realize HOW LUCKY WE ARE to have so many opportunities through the internet and that we can use it for both, "the good" and " the bad". just thanks:)
great vid
Here's a 10-min TED Talk I gave on rationality that illustrates how the Signal Detection framework can be useful in clarifying disagreements in everyday life: th-cam.com/video/ng4jBZwKAew/w-d-xo.html
tried using this kind of logic with my gf and it still didnt work
how do you get the distributions in the first place???
The distributions are theoretical, there is usually no "ground truth" available for which stimuli come from which category. Also, we're often interested in perceptions of stimuli, and we can't directly measure those. In some cases you could build the actual distributions and quantify the real separability, but we usually just compute d' and beta from the response data without directly observing the distributions.
@@fnymnky thank you sir,, i was thinking maybe calibration of the instrument is useful for this,, for example if it is a radar we calibrate with birds,, and planes,,and get an idea of what each look like is that stupid thanks,,
@@mcDynamit that’s totally right: if you can control or simulate the stimuli then you can better measure and calibrate the system.
@@fnymnky much appreciated
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Best vedio are you an audiologist??
Way better than the Khan Academy video.
wow, great job. Thank your for sharing this knowledge. You are a great teacher!
dang u explained it so well. helped me big time!
Sir, do you know of any research papers where this theory has been applied in policy-making.?
Thank you for the amazing lecture, I truly wish to be amidst teachers like you.
Hello! At 21:00 you said that students who did practice tests scored higher on another test with new questions because doing practice tests 'established a different kind of learning'. Did you mean they became more thoughtful of the material or first practice test results motivated them to learn on their mistakes and they spent more time studying the topic? Could you please explain what you meant or maybe suggest any sources that give some explanation?
if you're studying for the mcat watch this video and not the khan academy one because that one is just all over the place. This one helped me understand the concept much better!
Not sure why, but the audio is really now.
Hi Sir. I wanted to ask that is the bias determined by the individual himself (i.e. how accurate he wants to be before deciding upon a response hit/correct rejection) or is it influenced by external sources like the rewards and punishments one receives for giving that particular response or is it an amalgamation of both.
It's definitely both. People tend to have their own default preferences, which can be related to risk aversion and their assessment of which error is "worse", but they can also consciously shift these priorities in response to incentives.
Thank you sir for resolving my doubt. Warm regards.
How can someone explain the concepts with such ease. Kindly consider posting more videos on various psychology based topics.😇
Thanks Prof Burns, this helped a lot!
Thanks Devin, very easy to understand.
what does y axis represent? is the frequency of a particular intensity(x axis parameter) like we have all y axis in normal distribution?
Yes, that's right, these graphs are probability density functions.
is bias the same as criterion?
Pretty much. The criterion is the value on the x-axis where you put your decision bound, which will determine your bias (which response happens more often). Sometime bias is reported as the ratio of one response to the other.
This was very, very helpful. Thanks a lot!
Really appreciate the information! Khan academy MCAT prep covers this horribly!
Nice summary thanks
Does anyone know how to create this kind of graphic with my own data in R?
I'd be happy to help! Unfortunately though, lots of data can't be graphed this way because the underlying distributions (e.g. signal strength/perceptual salience) are unobservable, we can only measure the responses. What kind of data do you have?
@@devinburns1186 Hello!! Thank you so much for your quick answer. I'm still new in this and still absorbing this new knowledge. I have some numbers for the four types of answer: hits (299), miss (210), cr(297), fa (125). Will this be enough data to create the graphic or do I need something else?
@@e29g10h96 With that data we can compute d'=.1, not super great :) If we assumed equal variability in the two distributions then we could make a graph, but that's not necessarily going to be the case. Here's my code: hitPercentage=hit/(hit+miss) faPercentage=fa/(fa+corRej) dPrime=pnorm(hitPercentage)-pnorm(faPercentage) x=seq(-3,3,.1) plot(x,dnorm(x,mean = -faPercentage),type="l") lines(x,dnorm(x,mean = hitPercentage),type="l")
@@devinburns1186 Thank you so much! Also, because of your last answer, I realised I got all the data wrong and the correct numbers (I think) (hit=3020, miss=740, cr=1290, fa=214). Thank you for your code and your help. I appreciate it so much :)
Are the tables incorrect? Everything else I'm able to find states the Stimulus Present & Respond "Absent" is a FALSE ALARM. When the stimulus is absent and the response is "Present" is a MISS.
Maybe you've seen charts with the axes reversed? If it's not there and you say it is, that's definitely a false alarm, and if it is there and you say it's not, that's a miss. These labels are more ambiguous when the task is discriminating between two things, like apples and oranges, but can still make sense if you frame it as an "apple detection task".
@@fnymnky Thank you! I think I did have them mixed up-it was time to take a break in studying!
Upping the speed to 1.25 makes this great.
ma man 😂😂😂😂
I guess I'm an expert now
This is the best explanation of this I have come across. Thanks.
Yo, why am I understanding this so good? thank you so much! I thought I would never understand this for the MCAT! Seriously, I wish I can have professors like this for every subject
Thank you. finally understood this theory
explained it better than my professor (and the useless TAs) at an "ivy league" (columbia university) did... my goodness thank you man
fucking amazing. Best video in the net i saw regarding this topic. Big up!
Good summary, my friend. Thanks.
Interesting. anyone who d love to share with me your experiences of applying this theory in your daily life?
I can't stop seeing it all around me! As an example from my job, a colleague promoted a new tool as being better at identifying Alzheimer's, but never mentioned false alarms! It's easy to get more hits by shifting your criterion (bias), but you're not necessarily doing any "better", and could even be worse. I also see it in pretty much every political debate: those who want to restrict immigration spend all their time talking about potential "misses" (like a potential terrorist) while those who want to broaden it are concerned about "false alarms" (a hard working, good person who gets denied). It's pretty challenging to try to figure out how many of each case there could be and how much worse one error is than the other (in this case the terrorist allowed in would clearly be worse, but it's really hard to quantify by how much).
Student a Ulster University, UK using this piece for my dissertation research :P
MCAT lets go
Play at 1.25 speed
Wow!! Great Explanation!!
Hi Devin,Great tutorial once again! Might you have any videos or other material which cover how to calculate d-prime and do ROC analyses? Thanks
Y Fish : I don’t, but there are many good tutorials out there. Somewhere lower in the comments I provided a link to a previous similar inquiry. Good luck!
Thank you for the video! Do you happen to have more psychology videos posted somewhere? I am currently trying to self-learn psychology, and I like your teaching style.
I only have a few, sorry! If you click on my channel you'll see one on the science of studying and another on signal detection theory (which I highly recommend as a useful way to look at the world). I hope to add more later, but wish you luck!
Hi everyone, thanks for watching! I want to encourage you to apply this conceptual framework to political conflicts around you. Many issues like food programs for the poor can be framed as a signal detection problem of determining how to evaluate applications. A food program false alarm is when someone is taking advantage of the system who doesn't really need help. A miss is when someone really needs and deserves help, but is denied. Rather than thinking that people are stupid who disagree with your position on shrinking or expanding such a program, a more charitable reading is that they are merely arguing for a different criterion. They may have a different perception about how to weigh the two kinds of mistakes and which one is more important to guard against. The hope is that if both sides agree that both mistakes happen and both are bad, perhaps they could work together to actually increase the discriminability of the evaluation process!
that is an amazing thought! thank you so much for your concise video (and this comment in particular)
wow! such a compassionate view on differences in opinion! thank you so much for sharing this extermely valuable insight of yours!
Simply amazing... #Thankyou
Excellent lecture! Thanks a lot.