Okay kiddo, let me explain the Thurstonian model to you in a way that you can understand.
Imagine that you and your friend are playing a game where you have to guess which object is heavier. Your friend picks up two objects, one in each hand, and asks you to choose which one is heavier. Sometimes it's pretty easy to tell which one is heavier, but other times they might be really close in weight, and it's hard to tell for sure.
The Thurstonian model is a way for researchers to understand how people make judgments like this. They use math and statistics to create a model that can predict how likely people are to make the right decision, based on how close the weights of the objects are and how good their sensory system is.
Let's say you and your friend play this game a bunch of times, and researchers record all of your answers. They can use this information to figure out if you always choose the heavier object, even if it's only a little bit heavier, or if you only choose the heavier object if it's a lot heavier. They can also figure out how reliable your sense of touch is, and whether you're more likely to make the right decision if the objects are really different in weight or really similar.
By using the Thurstonian model, researchers can learn a lot about how people make judgments based on sensory information. This can help them understand how our brain processes information, how we make decisions, and even how we perceive the world around us. Pretty cool, huh?