Warning:
JavaScript is turned OFF. None of the links on this page will work until it is reactivated.
If you need help turning JavaScript On, click here.
The Concept Map you are trying to access has information related to:
path analysis - infering causality, relation between x and y does not disappear when external variables such as common causes of both are held constant (partialed out), path analysis - infering causality, corroboarating evidence from experimental studies of variables in the model that are manipulable, there is time precedence (x precedes y in time), the accurate prediction of the effects of interventions, specify the test alternative path models, each w different directionality, two rules of thumb, replication of the model across independent smaples, requirements (kline, 1998), partial correlation, steps indicating causality, longitudinal design, direction of the causal relation is correctly specified, multiple regression