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