Psychological Research: Crash Course Psychology #2

Summary

This CrashCourse video delves into the fascinating world of psychological research, highlighting how our intuitions can often lead us astray. It emphasizes the importance of scientific methods in understanding human behavior, discussing concepts like hindsight bias, overconfidence, and the perception of patterns in randomness. The video explains various research methods such as operationalizing questions, case studies, naturalistic observation, and surveys, cautioning viewers about common pitfalls like sampling bias and the confusion between correlation and causation. Through an engaging narrative, viewers learn how to conduct experiments, emphasizing the critical role of random sampling, control groups, and placebo effects in drawing valid conclusions.

Highlights

• Pizza has no psychedelic effects, and coffee doesn't make you smarter! 🍕
• Intuition can mislead you—psychological research helps avoid false assumptions. 🧐
• Hindsight bias: the 'I-Knew-It-All-Along' trap. ⚠️
• Different methods to study behavior include case studies, naturalistic observation, and surveys. 🤓
• Operationalizing questions is crucial for scientific inquiry and replication. 🔄
• Experiments require careful design to establish cause-and-effect. 🧪

Key Takeaways

• Your intuition isn't always right; scientific methods help validate our assumptions. 🧠
• Hindsight bias can make us trust our intuitions wrongly—what seems obvious isn't always true. 🔍
• Understanding correlation doesn't establish causation. 🍕
• Experiments with control and experimental groups help isolate variables for valid results. 🔬
• Ensure random sampling for unbiased research outcomes. 🎲

Overview

In a delightful journey through psychological research, this Crash Course episode unravels why our intuitive understandings are often flawed. From hindsight bias to overconfidence, humans tend to oversimplify complex behaviors. The episode offers insight into how we can use scientific inquiry to uncover truths about human nature, showing that expertise isn't simply a matter of common sense.

The video introduces how psychological research operates using various methodologies. Understand the critical role of operationalizing questions, and how foundational methods like case studies and naturalistic observations provide insights into human behavior. Surveys and interviews complement these by collecting data on attitudes and beliefs, although researchers must avoid wording biases and ensure representative samples.

Ultimately, the heart of understanding psychology lies in experimentation, where variables are manipulated under controlled conditions to discern true causation. The video cleverly illustrates the steps to conduct a solid experiment—from hypothesis creation to applying ethical standards, like obtaining informed consent. This engaging episode underscores that meticulous scientific practice is key to deciphering the intricate labyrinth of the human mind.

Chapters

• 00:00 - 01:00: Introduction to Psychology and Intuition The chapter begins by challenging the idea that common intuitions and perceptions about psychology and behavior may not always be accurate, using humorous hypothetical scenarios like psychedelic pizza and smart-making coffee to illustrate the point. It emphasizes that while people often rely on their personal experiences and intuition to understand others, such intuition can be misleading. The chapter warns of the dangers of relying on false intuitions, as even though they may occasionally yield correct insights, they more often lead to wrong conclusions about people's behavior and psychology.
• 01:00 - 02:00: Hindsight Bias and Overconfidence The chapter discusses the concept of Hindsight Bias, also referred to as the "I-Knew-It-All-Along" phenomenon, where people tend to believe they predicted an outcome after it has already happened. This bias reinforces trust in one's intuition and can overshadow the ability to predict future events accurately. An example given is the scenario where someone warns a friend about eating week-old pizza, feels validated if the friend gets sick, but dismisses the advice if the friend turns out fine, exemplifying how people notice their correct predictions more than their incorrect ones. The chapter emphasizes the ease of describing past events with supposed common sense versus predicting future occurrences.
• 02:00 - 03:00: Scientific Inquiry and Experimental Methods The chapter highlights the limitations of intuition, particularly focusing on overconfidence in our judgments about people and our tendency to seek patterns in random events, which can lead to false assumptions. An example is given using coin flips to illustrate how humans often perceive a streak in randomness.
• 03:00 - 04:00: Operationalizing Questions and Case Studies This chapter delves into the importance of scientific methods and safeguards in psychological research. It emphasizes how these methods help avoid misinterpretations and inaccuracies that can arise from our cognitive biases. The chapter also debunks common myths, clarifying that substances like pizza and coffee do not have effects such as inducing hallucinations or increasing intelligence respectively.
• 04:00 - 05:00: Naturalistic Observation and Surveys This chapter introduces how psychological research aligns with broader scientific research methodologies. It emphasizes the importance of operationalizing questions, transforming general inquiries into specific, testable propositions. This process is foundational in employing the scientific method in psychology, beginning with theorizing and formulating research questions.
• 05:00 - 06:00: Correlation vs Causation The chapter 'Correlation vs Causation' discusses the difference between observing connections and establishing cause-and-effect. It underscores the importance of theories in science, which not only explain and organize observations but also predict outcomes. A hypothesis is described as a testable prediction stemming from a theory. The chapter emphasizes the significance of clear communication and definitions, allowing other researchers to replicate experiments. Consistent replication of results across different subjects or situations is crucial for scientific validity.
• 06:00 - 07:00: Experimental Studies and Hypothesis Testing This chapter discusses the limitations and benefits of case studies in psychological research. While case studies offer in-depth insights into individual instances and can frame questions for broader studies, they pose a risk of over-generalization due to their inability to be replicated. Nonetheless, they are valuable for illustrating potential occurrences and serve as a strong storytelling mechanism for observing and describing behavior.
• 07:00 - 09:00: Designing a Caffeine Experiment The chapter discusses the process of designing a caffeine experiment, using the example of Carl, who becomes anxious and irritable at the smell of coffee due to personal negative associations, illustrating that individual reactions can vary. It emphasizes the importance of looking at multiple cases to draw conclusions. Additionally, it introduces naturalistic observation as a method in psychological research, where behavior is studied in natural settings, such as observing chimps, children, or sports fans.
• 09:00 - 10:00: Conclusion and Credits In this concluding chapter, the focus is on understanding the importance of non-intrusive observation in psychological studies. It discusses naturalistic observations, likening them to case studies that describe but do not explain behavior. The chapter further delves into survey methods, highlighting the work of Alfred Kinsey, who used surveys extensively to gather data on sexual behaviors, leading to groundbreaking publications.

Psychological Research: Crash Course Psychology #2 Transcription

• 00:00 - 00:30 Can week-old pizza cause psychedelic hallucinations? Does coffee make you smarter? Or does it just make you do dumb stuff faster? Like a bunch of psychology itself, questions like this can seem pretty intuitive. I mean, people may not be the easiest organisms to understand, but you're a person, right? So you must be qualified to draw, like, some conclusions about other people and what makes them tick. But it's important to realize that your intuition isn't always right. In fact, sometimes it is exactly wrong, and we tend to grossly underestimate the dangers of false intuition. If you have an idea about a person and their behavior that turns out to be right, that
• 00:30 - 01:00 reinforces your trust in your intuition. Like if one of my buddies, Bob, begins eating that deep-dish pizza that's been in the fridge for the past week but he eats it anyway and soon starts to wig out, I'll say "Dude, I told you so". But if I'm wrong and he's totally fine, I probably won't even think about it ever again. This is known as 'Hindsight Bias" or the "I-Knew-It-All-Along" phenomenon. This doesn't mean the common sense is wrong, it just means that our intuitive sense more easily describes what just happened, than what will happen in the future.
• 01:00 - 01:30 Another reason you can't blindly trust your intuition is your natural tendency toward overconfidence. Sometimes, you just really, really feel like you're right about people when actually you're really, really wrong. We've all been there. We also tend to perceive order in random events, which can lead to false assumptions. For example, if you flip a coin five times you have equal chances of getting all tails as you do getting alternating heads and tails. But we see the series of five tails as something unusual, as a streak, and thus giving that
• 01:30 - 02:00 result some kind of meaning that it very definitely does not have. That is why we have the methods and safe-guards of psychological research and experimentation, and the glorious process of scientific inquiry. They help us to get around these problems and basically save the study of our minds from the stupidity of our minds. So I hope that it won't be a spoiler if I tell you now that pizza won't make you trip, and coffee doesn't make you smart. Sorry.
• 02:00 - 02:30 [Intro] In most ways psychological research is no different than any other scientific discipline, like step one is always figuring out how to ask general questions about your subject and turn them into measurable, testable propositions. This is called operationalizing your questions. So you know how the scientific method works -- it starts with a question and a theory, and I don't mean theory in the sense of like, a hunch that say, a quad-shot of espresso makes you think better.
• 02:30 - 03:00 Instead, in science a theory is what explains and organizes lots of different observations and predicts outcomes. And when you come up with a testable prediction, that's your hypothesis. Once your theory and hypothesis are in place, you need a clear and common language to report them with, so for example, defining exactly what you mean by "thinking better" with your espresso hypothesis will allow other researchers to replicate the experiment. And replication is key. You can watch a person exhibit a certain behavior once, and it won't prove very much, but if you keep getting consistent results, even as you change subjects or situations, you're
• 03:00 - 03:30 probably on to something. This is a problem with one popular type of psychological research: case studies, which take an in-depth look at one individual. Case studies can sometimes be misleading, because by their nature, they can't be replicated, so they run the risk of over-generalizing. Still, they're good at showing us what CAN happen, and end up framing questions for more extensive and generalizable studies. They're also often memorable and a great story telling device psychologists use to observe and describe behavior.
• 03:30 - 04:00 Like, say the smell of coffee makes Carl suddenly anxious and irritable -- that obviously doesn't mean that it has that same effect on everyone. In fact, Carl has terrible memories associated with that smell, and so his case is actually quite rare. Poor Carl. But you would still have to look at lots of other cases to determine that conclusively. Another popular method of psychological research is naturalistic observation, where researchers simply watch behavior in a natural environment, whether that's chimps poking ant-hills in the jungle, kids clowning in a classroom or drunk dudes yelling at soccer games.
• 04:00 - 04:30 The idea is to let the subjects just do their thing without trying to manipulate or control the situation. So yeah, basically just spying on people. Like case studies, naturalistic observations are great at describing behavior, but they're very limited in explaining it. Psychologists can also collect behavioral data using surveys or interviews, asking people to report their opinions and behaviors. Sexuality researcher Alfred Kinsey famously used this technique when he surveyed thousands of men and women on their sexual history and published his findings in a pair of revolutionary
• 04:30 - 05:00 texts, Sexual Behavior in the Human Male and Female respectively. Surveys are a great way to access consciously held attitudes and beliefs, but how to ask the questions can be tricky; subtle word choices can influence results. For example more forceful words like "ban" or "censor" may elicit different reactions than "limit" or "not allow". Asking "Do you believe in space aliens?" is a much different question than "Do you think that there is intelligent life somewhere else in the universe?" It's the same question, but in the first the subject might assume you mean aliens visiting
• 05:00 - 05:30 earth, and making crop circles and abducting people and poking them. And if how you phrase surveys is important, so is who you ask. I could ask a room full of students at a pacifist club meeting what they think about arms control, but the result wouldn't be a representative measure of where students stand, because there's a pretty clear sampling bias at work here. To fairly represent a population, I'd need to get a random sample where all members of the target group, in this case students, had an equal chance of being selected to answer the question. So once you've described behavior with surveys, case studies, or naturalistic observation,
• 05:30 - 06:00 you can start making sense out of it, and even predict future behavior. One way to do that is to look at one trait or behavior is related to another, or how they correlate. So let's get back to my buddy Bob who seems to think that his refrigerator is actually some kind of time machine that can preserve food indefinitely. Let's say that Bob has just tucked into a lunch of questionable leftovers, pizza that may very well have had a little bit of fungus on it. But he was hungry, and lazy, and so he doused it in Sriracha. Suddenly, he starts seeing things: green armadillos with laser beam eyes. From here we could deduce that eating unknown fungus predicts hallucination, that's a correlation.
• 06:00 - 06:30 But correlation is not causation. Yes, it makes sense that eating questionable fungus would cause hallucinations, but it's possible that Bob was already on the verge of a psychotic episode, and those fuzzy leftovers were actually benign. Or there could be an entirely different factor involved, like maybe he hadn't slept in 72 hours, or had an intense migraine coming on, and one of those factors caused his hallucinations. It's tempting to draw conclusions from correlations, but it's super-important to remember that
• 06:30 - 07:00 correlations predict the possibility of cause-and-effect relationships; they cannot prove them. So we've talked about how to describe behavior without manipulating it and how to make connections and predictions from those findings. But that can only take you so far; to really get to the bottom of cause-and-effect behaviors, you're gonna have to start experimenting. Experiments allow investigators to isolate different effects by manipulating an independent variable, and keeping all other variables constant, or as constant as you can. This means that they need at least two groups: the experimental group, which is gonna get
• 07:00 - 07:30 messed with, and the control group, which is not gonna get messed with. Just as surveys use random samples, experimental researchers need to randomly assign participants to each group to minimize potential confounding variables, or outside factors that may skew the results. You don't want all grumpy teenagers in one group and all wealthy Japanese surfers in the other; they gotta mingle. Now sometimes one or both groups are not informed about what's actually being tested. For example, researchers can test how substances effect people by comparing their effects to placebos, or inert substances.
• 07:30 - 08:00 And often, the researchers themselves don't know which group is experimental and which is control, so they don't unintentionally influence the results through their own behavior, in which case it's called, you guessed it, a double blind procedure. So let's put these ideas into practice in our own little experiment. Like all good work, it starts with a question. So the other day my friend Bernice and I were debating. We were debating caffeine's effect on the brain. Personally, she convinced that coffee helps her focus and think better, but I get all jittery like a caged meerkat and can't focus on anything.
• 08:00 - 08:30 And because we know that overconfidence can lead you to believe things that are not true, we decided to use some critical thinking. So let's figure out our question: "Do humans solve problems faster when given caffeine?" Now we gotta boil that down into a testable prediction. Remember: keep it clear, simple, and eloquent so that it can be replicated. "Caffeine makes me smarter" is not a great hypothesis. A better one would be, say, "Adult humans given caffeine will navigate a maze faster than humans not given caffeine." The caffeine dosage is your independent variable, the thing that you can change.
• 08:30 - 09:00 So, you'll need some coffee. Your result or dependent variable, the thing that depends on the thing that you can change is going to be the speed at which the subject navigates through this giant corn maze. Go out on the street, wrangle up a bunch of different kinds of people and randomly assign them into three different groups. Also at this point, the American Psychological Association suggests that you acquire everyone's informed consent to participate. You don't want to force anyone to be in your experiment, no matter how cool you think it is. So the control group gets a placebo, in this case decaf. Experimental group one gets a low dose of caffeine, which we'll define at a 100 milligrams;
• 09:00 - 09:30 just an eye opener, like, a cup of coffee's worth. Experimental group two gets 500 milligrams, more than a quad shot of espresso dunked in a Red Bull. Once you dose everyone, turn them lose in the maze and wait at the other end with a stopwatch. All that's left is to measure your results from the three different groups and compare them to see if there were any conclusive results. If the highly dosed folks got through it twice as fast as the low dose and the placebo groups, then Bernice's hypothesis was correct, and she can rub my face in it saying she was right all along, but really that would just be the warm flush of hindsight bias telling her something
• 09:30 - 10:00 she didn't really know until we tested it. Then, because we've used clear language and defined our parameters, other curious minds can easily replicate this experiment, and we can eventually pool all the data together and have something solid to say about what that macchiato was doing to your cognition– or at least the speed at which you can run through a maze. Science: probably the best tool that you have for understanding other people. Thanks for watching this episode of Crash Course Psychology; if you paid attention you learned how to apply the scientific method to psychological research through case studies,
• 10:00 - 10:30 naturalistic observation, surveys, and interviews and experimentation. You also learned about different kinds of bias in experimentation and how research practices help us avoid them. Thanks especially to our Subbable subscribers, who make this and all of Crash Course possible. If you'd like to contribute to help us keep Crash Course going, and also get awesome perks like an autographed science poster, or even be animated into an upcoming episode, go to Subbable.com/CrashCourse to find out how. Our script was written by Kathleen Yale and edited by Blake de Pastino and myself.
• 10:30 - 11:00 Our consultant is Dr. Ranjit Bhagwat. Our director and editor is Nicholas Jenkins, our script supervisor is Michael Aranda, who is also our sound designer, and our graphics team is Thought Café.