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INSTRUCTOR: Single-case design.
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This is probably one of the most common types of quasi-experimental designs,
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and sometimes it gets a little confused with case studies for obvious reasons.
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It includes single case design.
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It sounds like a case study.
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But unlike a case study,
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so case studies usually just describe people.
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There's no real manipulation or experiment going on,
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there's no exposure to some type of stimulus,
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and then to measure a reaction.
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So with an actual case study,
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you're just following them in their life,
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seeing how they react normally to things,
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and describing that very special case.
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With a single-case design,
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again, this is quasi-experimental,
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you are looking at manipulating them in some way oftentimes.
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How does someone with depression react to this type of therapy?
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Or how does a pack-a-day smoker react to this type of medication or treatment?
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Again, you are running a type of experiment, it's a quasi-experiment.
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You're not just following these people around and recording their everyday lives,
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you're trying to change them in some way,
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usually, or treat them is maybe a better way of saying it.
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Also, single case, and this is where I don't like the way this is named—
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it's misleading—it implies that you're following one person.
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That's really never the case with a single-case design.
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The reason why we do call it a single-case design is because
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we're usually analyzing data on an individual basis.
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Pretty much all the analyses that we've been doing so far have been on group levels.
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Comparing group averages, seeing if there's
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a correlation between two variables on average.
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The difference with a single-case design is you're
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measuring change in individuals over time.
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You often hear things like two out of three people benefited from this therapy.
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Well, that's a quasi-experimental single-case statement.
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You're measuring things on an individual basis.
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You're not saying, on average, people got 30% better,
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you're saying two out of three people got better.
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I'm going to talk about one of the most common types of
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single-case designs which involves some type of pre-post measure.
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Usually, you're measuring the DV at a baseline.
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I'll go and put this up at a baseline period.
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We call that baseline because it's before manipulation,
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it's just the regular level.
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Then after the manipulation,
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usually what we call a treatment period,
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because some type of treatment or effect has been undertaken.
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A real classic one,
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one that's received a lot of interest lately as
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a possible treatment for depression is called deep brain stimulation.
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This is like having a pacemaker attached to your brain.
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In a real way, it really is like that.
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You have a pacemaker battery-like device implanted behind your collarbone,
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and then electrodes go into very deep centers of your brain,
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especially in the limbic system where depression is thought to originate.
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These deep brain stimulations actually shut down
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or calm down areas of the brain that might be involved with depression.
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In 2005, this was a very experimental manipulation.
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This had previously only been done with lab rats and some types of monkeys.
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What they did, they wanted to test it on sick,
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severely depressed patients, which is
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what we often do with new medications or treatments.
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We pick those people who,
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for lack of a better term, have nothing to lose.
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They're at the bottom of the barrel.
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Really, they could use any type of possible treatment.
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Basically, beforehand, they took measures of the depression as using
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themselves as a comparison group to see if
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they get better over time with this new type of treatment.
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Then, of course, they undergo the surgery necessary to
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implant this deep brain stimulation device.
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Again, we're looking at individual changes in depression, not group-level changes.
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That's part of the single-case design.
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With some of the individuals, they found that it really
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made not much of a difference or no significant difference.
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Maybe they only went down a depression score,
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maybe from eight to seven on a one to ten depression score,
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whereas other people showed really dramatic decreases in depression,
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in some cases alleviating depression all the way.
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Again, we're looking at this in an individual basis.
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Each line represents a different person.
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In the end, the data looks something like this with
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basically two people showing negligible benefits or non-significant benefits,
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thankfully not getting any worse,
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but no real change and four of the six showing good benefits and in some cases,
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even complete alleviation from depression,
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which is, of course, what you'd want to see.
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Again, that's looking at an individual basis here.
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It's a quasi-experiment because there was no control group.
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A true control group in this case,
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and it would be unethical which is just why it wasn't done,
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would be to have people undergo surgery to implant this device, which is, of course,
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very risky, and then basically to
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think the device is on but to never actually turn it on.
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In this case, that's just too much to ask for a control group.
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Again, depression is a very detrimental thing.
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These are people who are severely depressed,
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so it would be unethical to withhold treatment from them.
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But then without this control group,
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there's lots of confounds that may have
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alleviated depression for these four out of the six individuals.
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The biggest one being a placebo effect.
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Lots and lots of studies show that when people think they're being treated,
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oftentimes, their symptoms will be lessened.
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This can be anything from an actual treatment to just a sugar pill or a placebo pill.
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Even with no treatment whatsoever,
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just the thought of being treated can oftentimes help people that mind over matter,
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especially with mental illness.
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If someone thinks they're being treated, they might think, well,
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I think I'm less depressed than I was before,
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but they're just thinking more optimistically.
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Another confound, and this is especially prevalent with research on the mentally
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ill is that lots of people with
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mental illness actually get over their mental illness on their own.
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This is something that we therapists don't talk about a lot because, of course,
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we like to tout that therapy and medication are really good things, which they are.
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They do help people oftentimes get over mental illness sooner than they would otherwise.
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But typically, about 60% of people with
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mental illness do get over it completely on their own.
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This includes anything from depression,
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usually not severe things like schizophrenia or bipolar,
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but depression, lots of mood disorders included.
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Now, this is unlikely in this group,
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though, especially at a 60% level,
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because they selected people with severe and prolonged depression,
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people who have had it for years, were previously untreatable.
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It is unlikely that these individuals would just snap out of
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it in the first initial weeks of this treatment.
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Again, I don't think this is such a problem in
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this study because these were very severe patients.
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But sometimes just getting a baseline measure of mental illness
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can help people motivate themselves to make changes in their life to get better.
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Especially for people with maybe mild to moderate depression,
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taking a depression inventory where they're listing
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all the things that's been wrong with them so obviously,
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depressed mood, maybe insomnia,
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not eating enough, isolation from friends and family.
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People might take that as a wake-up call and go,
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wow, I really need to eat more,
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and I need to rest more,
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and I need to contact my friends and family and actually
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can help them to snap themselves out of that depression.
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Again, I don't think this is a problem here because these were,
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again, very severely depressed patients.
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Probably is a case that this wouldn't play that big of a role.
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But one way to deal with these confounds,
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is to do what's called a reversal design.
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It's basically if you see an effect, which they did here,
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four out of six patients showed positive results,
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basically alleviations in their depression scores,
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then you might want to,
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in essence, take away the manipulation,
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take away the treatment, and see if they return back to their baseline scores,
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see if those four out of six return back to depressed scores.
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Now, this is called an ABA design.
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In this case, A really just means what's happening before their baseline and B,
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what happens after their treatment condition.
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ABA, going from baseline to treatment,
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and then hopefully back to baseline once you remove the treatment.
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They did this with one of the individuals.
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Whether or not this is ethical,
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this is a gray area,
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but at this point, this is one of the only ways to
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really rule out things like placebo effect.
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With one of the individuals who was showing
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a very positive result from the deep brain stimulation, they basically,
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because these people got a week-by-week checkup,
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where they fine-tuned the pacemaker inside them and all that,
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with this individual, they basically turned it off without telling him.
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Low and behold, within a couple of weeks,
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the patient returned back to baseline.
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This is a good indication
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that this is the actual treatment that's doing it and not just a placebo effect,
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because for all this person knows,
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they're still receiving treatment,
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so it rules out things like placebo effect,
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but also things like just self-recovery from depression.
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Of course, this is maybe unethical,
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because now you're withholding treatment for someone who really benefits from it.
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What most often they do with these types of designs is not just an ABA design,
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but an ABAB design.
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If they find that a person does return back to baseline,
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they again instill the treatment as soon as they start showing symptoms back to baseline.
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Hopefully, so that this individual doesn't
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have to suffer for any prolonged amount of time.
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In this case, again, they did this.
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They restarted the deep brain stimulation,
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again, without this person's knowledge,
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and within even a shorter period of time,
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a few days, he returned back to his treatment levels.
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This is even better for the whole anti-placebo argument because,
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again, this is without his knowledge.
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It's being turned on and off.
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This is a replication of the effect multiple times in the same individual.
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Really good indication that it really is the deep brain stimulation and not something
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else just random changes in the person
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over time or placebo effect causing this difference.
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[NOISE] Just some characteristics of the single-case design and
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a good way to differentiate it from regular types of experiments.
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For one, of course,
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it examines people individually as opposed to a group,
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so it's not going to talk about things like group averages.
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It's going to be saying more like four out of six people, for instance,
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in this case, did show significant improvement in their depression scores.
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Most of them do employ this reversal of design so
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either an ABA or an ABAB design.
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Of course, what makes it a quasi-experiment is,
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well, in this case, very clearly,
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there was no control group.
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Without a control group, you necessarily can't have
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experimental control or randomization because those require multiple groups.
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But even with multiple groups,
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usually with a quasi-experiment,
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you don't have any type of true control over
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what patients are experiencing other than the independent variable or the treatment,
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and there's no random assignment,
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because usually, you're dealing with person factors like depression.
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Most often these things are used to test the effectiveness of treatments.
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They're very common in therapeutic designs,
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especially involved with medications.