correlational statistics

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Noun1.correlational statistics - a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
correlational analysis - the use of statistical correlation to evaluate the strength of the relations between variables
curvilinear correlation, nonlinear correlation, skew correlation - any correlation in which the rates of change of the variables is not constant
partial correlation - a correlation between two variables when the effects of one or more related variables are removed
direct correlation, positive correlation - a correlation in which large values of one variable are associated with large values of the other and small with small; the correlation coefficient is between 0 and +1
indirect correlation, negative correlation - a correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1
spurious correlation - a correlation between two variables (e.g., between the number of electric motors in the home and grades at school) that does not result from any direct relation between them (buying electric motors will not raise grades) but from their relation to other variables
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References in periodicals archive ?
Correlational statistics for the usefulness of reflection pages and the usefulness of self-regulation skills revealed that the Pearson coefficient was high: r = 0.664**, p = 0.000.
QUESTION 3 Correlational statistics were used to examine the relationship between level of use of simulators (as measured by the NPQ) and participants' perceptions of administrators' adherence to established change strategies (as measured by the CPS).
In evaluating temperature devices, a number of studies failed to examine the level of agreement between the devices being studied and the reference temperature device; instead, they evaluated the relationship between the temperature devices by performing correlational statistics (e.g., Pearson's r).
Explanations of key statistical concepts such as sampling error, intercoder reliability, significance testing, correlational statistics, and regression are clear and appropriate for the upper-level communication student.