Glossary C
Glossary C
correlation is the degree to which two (2) variables are associated.
In a Positive correlation, the two (2) variables increase or decrease together while in a Negative correlation, one variable decreases as the other increases.
Correlation coefficient refers to the statistics that measures the strength of relations between two measures, example, intelligence and school achievement); expressed in a positive or negative ratio from -1.0 to _1.0.
Other definition:
Correlation Coefficient is a number that describes the degree of Association between two (2) variables of interest.
Other definition:
Correlation Coefficient is a number that describes the degree of Association between two (2) variables of interest.
Correlation matrix refers to an array that displays the correlations between all possible pairs of variables in the array.
Correlational design refers to a type of research design that indicates the strength of associations among variables
Correlational laws refer to laws that specify the systematic relationships among classes of empirical events. The events described by Correlational laws do not need to be causally related unlike causal laws. One can note, for example, that as average daily temperature rises, so does the death rate without knowing or even caring if the two (2) events are causally related.
Correlational method refers to the method whereby two or more variables are systematically measured and the relationship between them (i.e., how much one can be predicted from the other) is assessed.
Correlational observation refers to a research design in which the researcher attempts to determine whether two (2) or more variables are related without attempting to manipulate the variables or draw causal conclusions.