0
Want this question answered?
Be notified when an answer is posted
Add your answer:
Earn +20 pts
Strengths and weaknesses of correlation?
A good starting point to research and very good at showing relationship between variables but doesn't demonstrate cause and effect
Does correlation demonstrate causation?
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
What is the relationship between correlation and causation?
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
When two variables are correlated there are four possible explanations of the correlation What are they?
a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y
Does the strength of correlation depend on the direction?
Absolutely not. The simplest way to demonstrate this is to consider a measure of agreement - disagreement. If we scored it so that "strongly agree" is 5 and "strongly disagree" is 1, we would get one value of the correlation. If we reverse-scored it, we would get exactly the same value, but with the opposite sign. The strength of the correlation is the same, but the direction of the relation has switched. Another consideration is the fact that the actual strength of the correlation is based on the square of its value. 0.20 squared is 0.04; 0.40 squared is 0.16. A correlation of 0.40 is four times as strong as a correlation of 0.20. But when you square something, you automatically lose the sign. The square of a negative number is positive. So by definition, correlations of the same size but different signs are equal in strength.
Strengths and weaknesses of correlation?
A good starting point to research and very good at showing relationship between variables but doesn't demonstrate cause and effect
Does correlation demonstrate causation?
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
What is the relationship between correlation and causation?
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
How can organizations demonstrate ethical behavior?
Organizations can demonstrate ethical behavior by taking into account the effects of their actions on all stakeholders involved. When a behavior benefits one group disproportionately without considering the consequences, it can result in unethical behavior.
Echoes demonstrate which behavior of sound waves?
Reflection.
When two variables are correlated there are four possible explanations of the correlation What are they?
a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y
Will all students with ADHD demonstrate the same characteristics of behavior?
No.
Parsons was the first to demonstrate the function of medicine as a form of what?
Deviant behavior
What does it mean if two variables have a negative correlation?
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
Correlational study is it cause and effect?
No correlational study is not cause and effect because correlation does not measure cause.
Does a correlation tell us anything about cause?
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
Is there a correlation between snowfall and phases of the moon in Maine?
There may be a weak correlation, but there is no known mechanism to cause this and it is unlikely one will be found.
