Search results
Results From The WOW.Com Content Network
The Correlates of War project is an academic study of the history of warfare.It was started in 1963 at the University of Michigan by political scientist J. David Singer. [1] [2] Concerned with collecting data about the history of wars and conflict among states, the project has driven forward quantitative research into the causes of warfare.
For example, the Integrated Conflict Early Warning System (ICEWS) project at the Defense Advanced Research Projects Agency (DARPA) takes this approach. [6] Some approaches to conflict early warning combine both qualitative and quantitative methodologies, such as Swisspeace 's formerly operational project called FAST.
A central puzzle that motivates research in this vein is the "inefficiency puzzle of war": why do wars occur when it would be better for all parties involved to reach an agreement that goes short of war? [2] [3] In the bargaining model, war between rational actors is possible due to uncertainty and commitment problems. As a result, provision of ...
In psychometrics, criterion validity, or criterion-related validity, is the extent to which an operationalization of a construct, such as a test, relates to, or predicts, a theoretically related behaviour or outcome — the criterion.
Using the example of general happiness, a researcher could create an inventory where there is a very high positive correlation between general happiness and contentment, but if there is also a significant positive correlation between happiness and depression, then the measure's construct validity is called into question.
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
a design that is optimal for a given model using one of the . . . criteria is usually near-optimal for the same model with respect to the other criteria. — [ 16 ] Indeed, there are several classes of designs for which all the traditional optimality-criteria agree, according to the theory of "universal optimality" of Kiefer . [ 17 ]
A typical predictive validity for an employment test might obtain a correlation in the neighborhood of r = .35. Higher values are occasionally seen and lower values are very common. Nonetheless, the utility (that is the benefit obtained by making decisions using the test) provided by a test with a correlation of .35 can be quite substantial ...