is the relationship arbitrary or causal?
TRANSCRIPT
By the end of this presentation you will be able to determine if your relationship question is –
Causal
By the end of this presentation you will be able to determine if your relationship question is –
Causal
or
By the end of this presentation you will be able to determine if your relationship question is –
Causal
or
Arbitrary
A causal relationship is a relationship where one variable (temperature) causes another variable(ice melting).
A causal relationship is a relationship where one variable (temperature) causes another variable (ice melting).
Causal relationships are hard to establish because in order for it to be causal it must always happen without exception.
Heat causes molecules to move and interact more.
There is hardly any scenario where that would not happen.
Heat causes molecules to move and interact more.
And that is why this relationship is called
causal.
The increase of temperature may influence ice cream sales, but this is not considered a causal relationship.
The increase of temperature may influence ice cream sales, but this is not considered a causal relationship.
The increase of temperature may influence ice cream sales, but this is not considered a causal relationship.
That’s because there will be times when this is not the case, like when the price of ice-cream ingredients increases dramatically thus driving down the demand of ice-cream regardless of the temperature.
In most social science statistics we speak of causal relationships but what we really mean is that one variable influences another variable.
In most social science statistics we speak of causal relationships but what we really mean is that one variable influences another variable.
Variable 1 Variable 2causes
In most social science statistics we speak of causal relationships but what we really mean is that one variable influences another variable.
Variable 1 Variable 2causes
In most social science statistics we speak of causal relationships but what we really mean is that one variable influences another variable.
Variable 1 Variable 2causes
Variable 1 Variable 2INFLUENCES
In most social science statistics we speak of causal relationships but what we really mean is that one variable influences another variable.
Variable 1 Variable 2causes
Variable 1 Variable 2INFLUENCES
With so-called causal relationships the independent variable does the influencing and the dependent variable is what is effected
With so-called causal relationships the independent variable does the influencing and the dependent variable is what is effected
With so-called causal relationships the independent variable does the influencing and the dependent variable is what is effected
The wording you see in a word problem that will give you a clue that you are working with a “causal relationship” is the verb “predicts”.
For example,
Does stress predict anxiety?
Meaning you can tell the amount of anxiety someone has, if you know the amount of stress they are under.
In other instances the relationship between two variables is not causal but arbitrary.
Causal
Arbitrary
Meaning we do not know what causes what, we just know that:
- when one increases the other increases,
Meaning we do not know what causes what, we just know that:
- when one increases the other increases,
- or when one decreases the other decreases,
Meaning we do not know what causes what, we just know that:
- when one increases the other increases,
- or when one decreases the other decreases,
- or when one increases the other decreases.
We just don’t know which influences which.
Generally they most likely influence each other:
Probably influence and is influenced byPeace
Honorable Living
We just don’t know which influences which.
Generally they most likely influence each other:
Anxiety DepressionProbably influence and is influenced by
When we are not sure which is which, then this becomes an arbitrary relationship as opposed to a causal relationship.
When we are not sure which is which, then this becomes an arbitrary relationship as opposed to a causal relationship.
Causal
Arbitrary
Note – unless your relationship problem specifies a causal relationship (with one variable influencing directly another variable) then the problem is most likely arbitrary.