JOUR 601 Lecture Notes - Lecture 9: Dependent And Independent Variables, Theoretical Definition
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When working on a theory, you could think that there are a couple of variables that are related
to eachother and one causes changes to eachother.
In an abstract model, we could say that education leads to knowledge
The more you go to school… the smarter you get
In this case, education is the independent variable and knowledge is the dependent variable
That is because education comes first, you go to class first and then you become smarter. AKA
cause and effect
This is a construct. It is a broad representation of a variable
But there is a more direct or more narrow definition that we come up with.
It could be a more specific type of education like kindergarten, elementary, high school, college
etc or something specific in education like actually going to class instead of just signing up for it.
The attendance, or attention in an online environment leads you to becoming a better theorist
because you are paying attention to these classes.
For a relationship between two concepts to exist, each must be a variable.
To overview again:
Construct: IV: education leads to DV: knowledge
Concept: IV: Attendance leads to DV: Theorist
Now we need to create the variables: It is basically an explanation of how you measure these
So in this case: Variables: IV: How many classes did you attend? Leads to DV: What is your
average exam score?
A variable is a measurable version of a concept that can take on two or more values
Values: IV: 0-28 visits to class leads to DV: 0-100 score on exam
These are the values for the variable to explain the concept.
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