The key distinction between correlation and casual connection is the effect that one has on the other regarding the outcomes in scientific test results. In a study, the investigator is looking for the possible effect on the dependent variable that might be induced by changing the independent variable.
Casual connection is an occurrence or action that can cause another and the results are predictable and certain. With that being said, casual connection can also determine how the two events are related to each other. Casual connection can also be called cause and effect. Every effect has a specific and predictable cause. An on the other hand every cause or action has a specific and predictable effect. This means that everything that we currently have in our lives is an effect that is a result of a specific cause (Sicinski, 2018). …show more content…
Correlation can also be described as a statistical measure for the number of variables involved. Independent variable (IV) is the variable of the experimenter manipulates (i.e. changes) assumed to have a direct effect on the dependent variable. The dependent variable (DV) is the variable of the experimenter measures, after making changes to the IV that are assumed to affect the DV (McLeod, 1970).
For an example misbehaving children is caused by their parents smoking. This is perfectly possible that the parents smoked because of the stress of looking after a child that misbehaves. Another explanation may be that their economic status causes the correlation; the lower classes are usually more likely to smoke and are more likely to have delinquent children. Therefore, parental smoking and delinquency are both symptoms of the complications of poverty and may not have any direct link between
Casual connection is an occurrence or action that can cause another and the results are predictable and certain. With that being said, casual connection can also determine how the two events are related to each other. Casual connection can also be called cause and effect. Every effect has a specific and predictable cause. An on the other hand every cause or action has a specific and predictable effect. This means that everything that we currently have in our lives is an effect that is a result of a specific cause (Sicinski, 2018). …show more content…
Correlation can also be described as a statistical measure for the number of variables involved. Independent variable (IV) is the variable of the experimenter manipulates (i.e. changes) assumed to have a direct effect on the dependent variable. The dependent variable (DV) is the variable of the experimenter measures, after making changes to the IV that are assumed to affect the DV (McLeod, 1970).
For an example misbehaving children is caused by their parents smoking. This is perfectly possible that the parents smoked because of the stress of looking after a child that misbehaves. Another explanation may be that their economic status causes the correlation; the lower classes are usually more likely to smoke and are more likely to have delinquent children. Therefore, parental smoking and delinquency are both symptoms of the complications of poverty and may not have any direct link between