Could someone please define in laymans terms the following t

Could someone please define, in layman\'s terms, the following terms: elaboration, control variable, intervening variable, causally prior variable and partial relationship.

Solution

I imagine that you\'re talking about a elaboration model for a project or a TESIS. For this subject these terms are interrelated.

So, let\'s begin.

Elaboration:  this word refers to a protocol for pose and analyzing relationships among variables for the purpose of testing theories.That means that you need a plan for your project, you need to know which variables you need analyze and how you can analyze them.

For example if you have a experiment with water and you want analyze the boiling point you must ask to yourself these questions
¿how can i measure the temperature ?
¿how many water i will use for the experiment?
¿how many time i will warm the water?

that is for be sure that you are well prepared for do the experiment.

The controlled variables are quantities that a scientist wants to remain constant, and he must observe them as carefully as the dependent variables. For example, if we want to measure how much water flow increases when we open a faucet, it is important to make sure that the water pressure (the controlled variable) is held constant.That\'s because both the water pressure and the opening of a faucet have an impact on how much water flows.
If we change both of them at the same time, we can\'t be sure how much of the change in water flow is because of the faucet opening and how much because of the water pressure. In other words, it would not be a fair test.

An intervening variable is a variable that helps to explain the relationship between 2 variables.

In the previous example, the intervening variable was the grede of faucet open grade. Being that when the faucet is totally opened the pressure is lees in comparsion that when its not appened totally.

Partial relationship is the relation between 2 or more variables. after excluding the effect of one or more independent factors.

For example: in the boiling experiment the relationship between the temperature and the quantity of water is big. Because while the quantity of water is small but the temperature is big this stage shows us the boiling point faster that the stage when we have a big quantity of water at the same temperature