- Identifying a sample and population
- Identify the population and sample
- Generalizability of survey results example
- Generalizability of results
- Types of studies
- Worked example identifying observational study
- Invalid conclusions from studies example
- Types of studies
We can distinguish between experiments and observational studies, and further describe types of observational studies: retrospective, prospective, and sample surveys. Created by Sal Khan.
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- Hi everyone,
In this video Sal classifies different types of observational studies (retrospective, prospective and sample study) based on the type of temporal data they are based on (past or present).
E.g. using historic data in an observational study, results in a Retrospective Observational Study.
Although this perspective is useful in distinguishing observational studies, it does not seem to be complete. This is because both prospective and sample observational studies are based on current (i.e. present) data.
Therefore, if we are only told that a study uses present/current data, we cannot judge if this observational study is a sample or prospective one.
What's something that can be added to this explanation to make distinguishing between sample and prospective more definitive and exhaustive?
/ Eduardo(6 votes)
- You mentioned Taxonomy. What does that have to do with the topic?(2 votes)
- What is the difference between an observational study and experiment studies??(2 votes)
- an observational study is something that you gather answers directly from people, such as calling on the phone and asking what their favorite color is. An experimental study is finding your own answers by having people do something else, such as separating two groups to test something.(1 vote)
- [Instructor] In this video, we're gonna get our bearings on the different types of studies you might statistically analyze or statistical studies. So first of all, it's worth differentiating between an experiment and an observational study. I encourage you pause this video and think about what the difference is, at least in your head between an experiment and an observational. Observational study. Well, you might already be familiar with experiments. You oftentimes have a hypothesis that if you do something to one group, that it might have some type of statistically significant impact on them relative to a group that you did not do it to. And you would be generally right. That is the flavor of what we're talking about when we're talking about an experiment. An experiment we're actively putting people or things into a control versus treatment group. In the treatment group, you put the people and you usually would want to randomly select people into the treatment group. Maybe it's a new type of medication. And maybe in the treatment group, they actually get the medication while in the control group, which you would put people into randomly, whether they're in control or treatment, here they might get a placebo where they get a pill that looks just like the medication, but it really doesn't do anything. And then you wait some time and you can see, is there a statistically significant difference between the treatment group on average and the control group. So that's what an experiment does. It's kind of this act of sorting and figuring out whether some type of stimulus is able to show a difference while an observational study, you don't actively put into groups. Instead, you just collect data and see if you can have some insights from that data. If you can say, okay, the data, there's a population here, can I come up with some statistics that are indicative of the population? I might just wanna look at averages, or I might wanna find some correlations between variables. But even when we're talking about an observational study, there are different types of it, depending on what type of data we're looking at, whether the data is backward-looking, forward-looking or it's data that we are collecting right now, based on what people think or say right now. So if we're thinking about an observational study that is looking at past data, and I could imagine doing something like this at Khan Academy, where we could look at maybe usage of Khan Academy over time. We have these things in our server logs, and we're able to make do some analysis there. Maybe we're able to analyze and say, on average students are spending two hours per month on Khan Academy over in 2019. That would be past data. And that type of observational study would be called a retrospective study. Retro for backwards and spective, looking. So retrospective observational study would sample past data in order to come up with some insights. Now you can imagine there might be the other side. What if we are trying to observe things into the future? Well, here you might take a sample of folks who you think are indicative of a population and you might want to just track their data. So you could even consider that to be future data. So you pick the group, the sample ahead of time, and then you track their data over time. I'm just gonna try these little arrows that you're tracking their data, and then you see what happens. For example, you might randomly select hopefully a random sample of a hundred women, and you wanna see in the coming year, how many eggs do they eat on average per day? Well, what you would do is you selected those folks and then you would track that data for each of them every day. And then once you have the data, you could actually do it while you're collecting it. But at the end of the study, you'll be able to see what those averages are. But you can also keep track of it while you're taking that data. And you could imagine what this was called. Instead of retrospective, we're now looking forward. So it is prospective, forward looking observational study. Last but not least, some of y'all are probably thinking, what about if we're doing something now? If we go out there and we were to survey a bunch of people and say, how many eggs did you eat today? Or who are you going to vote for? What might we call that? It's tempting to call it something with a prefix and then spective. So it all matches, but it turns out that the terminology that statisticians will typically use is a sample survey. That right now you're gonna take a hopefully random sample of individuals from the population that you care about. And you are just gonna serve them right now and ask them, say some questions or observe some data about them right now. So I'll leave you there. This video is to just give you a little bit of the vocabulary and a little bit of a taxonomy on the types of studies that you'll see in general, which is especially useful to know when you're exploring the world of statistics.