Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
15 Cards in this Set
- Front
- Back
3 criteria must be met in order to conclude that one variable causes or influences another variable: What are they?
|
-Elimination of extraneous variable
-Directionality Covariation |
|
What is Covariation?
|
If one variable causes the other, then changes in the values of one variable should be associated with changes in values of the other variable.
|
|
Directionality
|
the presumed cause precedes the presumed effect in time. (However, in most Correlational research, both variables are measured at the same time)
|
|
Elimination of extraneous variable
|
All extraneous factors that might influence the relationship between the two variables are controlled or eliminated→two variables may be correlated not because they are causally related to one another but because they are both related to a third variable (ex: loneliness and depression are strongly correlated but is it because of the third variable>quality of a person’s social network)
|
|
Partial Correlation
|
the correlation between two variables with the influence of one or more other variable statistically removed
|
|
______ Correlation allows researchers to examine a third variable’s possible influence on the correlation between two other variables
|
Partial
|
|
equal differences between the numbers assigned to participants’ responses reflect equal differences between participants in the characteristic being measures.
|
Interval and ratio scales
|
|
most commonly used index of correlation…when bothe variables, x and y, are on a interval or ratio scale of measurement
|
Pearson correlation coefficient
|
|
used when one or both variables are measured on an ordinal scale
|
Spearman rank-order correlation
|
|
no true zero point
|
Interval
|
|
have a true zero point
|
Ratio
|
|
Ordinal scale
|
the numbers reflect the rank ordering of participants on some attribute
Ex: teachers rank vs. IQ |
|
when both variables being correlated are dichotomous
|
Phi coefficient correlation:
|
|
Dichotomous variable is measured on a
|
nominal scale but only has two levels
Ex: correlation between gender and virginity |
|
Dichotomous
|
male vs. female, handedness, pass (y or n)
|