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Alternative methods: 2 - Single case design

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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.
Title:
Alternative methods: 2 - Single case design
Video Language:
English
Team:
BYU Continuing Education
Project:
SOCW-300-300
Duration:
11:17

English subtitles

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