Relacionar Columnas RelationshipsVersión en línea Match the relationship with its definition. por Paul Alves - Fletchers Meadow SS (2492) 1 accidental relationship 2 presumed relationship 3 hidden variables 4 cause and effect relationship 5 experimental group 6 control group 7 reverse cause and effect relationship accidental relationship presumed relationship 8 common cause relationship 9 extraneous variables they do not receive the treatment by the researchers and are used as to compare against the group that does receive the treatment A correlation exists without any causal relationship between variables. A change in X produces a change in Y. An external variable causes two variables to change the same way. Variables that affect either the dependent or the independent variable and are NOT predictable. The presumed dependent and independent variables are reversed in the process of determining causality. (Y causes X). A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. they receive the treatment being tested A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship.
Crear