Term
|
Definition
| a relationship between variables X and Y such that a high score for X is associated with a high score for Y and a low score for X is associated with a low score for Y |
|
|
Term
|
Definition
| a relationship between variables X and Y such that a high score for X is associated with a low score for Y and a low score for X is associated with a high score for Y |
|
|
Term
|
Definition
measure of the size of a correlation between 2 variables, ranges from a perfect positive correlation of 1 to a perfect negative correlation of
- 1 if r = 0 then no relationship exists between the variables |
|
|
Term
|
Definition
| a graph depicting the relationship shown by a correlation |
|
|
Term
|
Definition
| occurs in a correlational study when only a limited range of scores for one or both of the variables is used, range restrictions tend to lower correlations |
|
|
Term
| coefficient of determination (r2) |
|
Definition
| for 2 correlated factors, the proportion of variance in one factor that can be attributed to the second factor, found by squaring Pearson's r |
|
|
Term
|
Definition
| in correlational research knowing the size of a correlation and a value for variable X it is possible to predict a value for variable Y, occurs through a regression analysis |
|
|
Term
|
Definition
| summarizes the points of a scatterplot and provides the means for making predictions |
|
|
Term
|
Definition
| in correlational research this refers to the fact that for a correlation between variable X and Y it is possible that X is causing Y but it is also possible that Y is causing X |
|
|
Term
| cross lagged panel correlation |
|
Definition
| refers to a type of correlational research designed to deal with the directionality problem, if variables X and Y are measured at 2 different times and if X precedes Y then X might cause Y but Y cannot cause X |
|
|
Term
|
Definition
| refers to the problem of drawing causal conclusions in correlational research, third variables are any uncontrolled factors that underline a correlation between variables X and Y |
|
|
Term
|
Definition
| a multivariate statistical procedure for evaluating the effects of third variables if the correlation between X and Y remains high, even after some third factor Z has been "partialed out" then Z can be eliminated as a third variable |
|
|
Term
|
Definition
| a form of reliability in which one half of the terms on a test are correlated with the remaining items |
|
|
Term
|
Definition
| a form of reliability in which a test is administered on two separate occasions and then correlation between them is calculated |
|
|
Term
|
Definition
| form of validity in which a psychological measure is able to predict some future behavior or is meaningfully related to some other measure |
|
|
Term
|
Definition
| a form of correlation used when pairs of scores do not come from the same individual, as when correlations are calculated for pairs or twins |
|
|
Term
|
Definition
| any statistical analysis investigating the relationship between 2 variables |
|
|
Term
|
Definition
| any statistical analysis investigating the relationships among more than 2 variables |
|
|
Term
|
Definition
| a multivariate analysis that includes a criterion variable and 2 or more predictor variables, the predictors will have different weights |
|
|
Term
|
Definition
| a multivariate analysis in which a large number of variables are intercorrelated variables that correlate highly with each other form factors |
|
|
Term
|
Definition
| a table that summarizes a series of correlations among several variables |
|
|
