Hey, everyone. So this chapter is a bit long. So we've built a roadmap for you just to help you refer back and know where you are in the chapter at all times. So we're going to be, kind of kicking off with a little introduction to research methods. We're going to have separate videos for case studies, observational studies, things like naturalistic and laboratory observation will get covered there.
We'll then talk about psychometric assessments, things like surveys, interviews, and psychological tests. We're then going to jump into reliability and validity, basically how do we know if those psychometric assessments are actually working or not. And then we're going to talk a bit about experiments and then we'll talk about validity when it comes to things like experimental design. From there we're going to jump into developmental designs talking about cross-sectional and longitudinal studies. Basically, study designs that help psychologists understand how humans grow and change throughout the lifespan.
And then we're going to wrap up by talking about how psychologists actually evaluate their research findings. So we're going to have some videos covering descriptive statistics that will go over measures of central tendency, things like mean, median, and mode. And then measures of variability, things like range and standard deviation. We're not going to be doing much math, don't worry it's more just how psychologists are going to be using these things. We're then going to talk about correlations which are a very important statistical tool in psychology. But as important as they are, it's very good to know that correlations do not tell us anything about causation.
We're going to have a whole separate video talking about that. And then we'll wrap up by talking about inferential statistics, basically, things like p-values. Alright. So feel free to refer back to this roadmap at any point in the chapter if you're kind of wondering where you are, and I will see you guys in our next video. Bye bye.