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SOCSCI RESEARCH CONCEPTS 3: VARIABLE RELATIONSHIPS

I.                  CAUSAL RELATIONSHIPS

1.     Philosophers have long debated the concept of causality. For instance, Hume said if one billiard ball hits another, we cannot prove that the first caused the second to fall into a pocket. Hume argued that we can only observe sequence of events.

2.     Nevertheless, we say that X causes Y if:

2.1.         There is a relationship between X and Y

2.2.         Relationship is asymmetrical: change in X results in change Y but not vice-versa

2.3.         A change in X results in a change in Y regardless of the actions of other factors

3.     At the same time, Bailey says that it possible to define symmetrical relationships. This is the “so-called mutual causation” in which X causes Y and simultaneously Y and X so that each is both a cause and effect.

4.     Bailey also argues that it is useful to think of causality in terms of  necessary and sufficient conditions. Cause X is necessary for effect Y if Y never occurs unless X occurs. X is sufficient for effect Y if Y occurs every time X occurs. There are 3 combinations: (a) X is necessary but not a sufficient condition for Y; (b) X is sufficient but not necessary; and (c) X is both necessary and sufficient for effect Y.

II.              OTHER  RELATIONSHIPS

1.       NO CORRELATION

2.       LINEAR VERSUS NONLINEAR (CURVILINEAR) RELATIONSHIPS

3.       SPURIOUS AND INTERVENING RELATIONSHIPS

a)    A spurious relationship exists when two variables A and B appear to be related only because both are caused by a third variable C.

b)   Often, what appears to be a relationship between two variables A and B is caused by an intervening variable C that is literally between A and B. C is the intervening variable and the relationship is called an intervening variable relationship.

4.       SUPPRESSOR AND DISTORTER VARIABLES

a)    Two variables that are actually related may appear to be unrelated because each is correlated with a third variable that suppresses the relationship between them.

b)   The third variable may also have the effect of distorting the relationship between two variables, making the relationship positive or negative instead of the other way around.

 

 

                           Prof. Art Boquiren January 2004 based on Bailey 1994: 48-52

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