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