A cause-effect relationship is a relationship in which one event causes another to happen.Think back to our alarm example at the beginning of this lesson.It would be impossible to tell whether or not the crying was caused by the newborn being hungry, needing a new diaper, or if they just missed their parents, unless you account for all these factors in the design of your experiment.
A cause-effect relationship is a relationship in which one event causes another to happen.Think back to our alarm example at the beginning of this lesson.It would be impossible to tell whether or not the crying was caused by the newborn being hungry, needing a new diaper, or if they just missed their parents, unless you account for all these factors in the design of your experiment.Tags: Netflix Case Study Problem StatementCritical Thinking Puzzles PrintableAssignment ServicePeer Review Questions For Argumentative EssayLetter Of Application For Teaching Assistant UkClaims Adjuster Cover LetterBusiness Plan ProductsResearch Budget ProposalJustification Report Utility 2.1 Traces
A correlation is an indication of whether or not there is a relationship between two events.
However, this does not mean that one event causes another.
The only way to meet the third criteria is by using the experiment method and controlling the other factors that can influence the outcome of your research.
In this example, you would need to control for hunger, diaper changes, and missing parents.
In order to establish a cause-effect relationship, three criteria must be met.
The first criterion is that the cause has to occur before the effect. In the example above, the students had to become all-star athletes before their attractiveness ratings and self-confidence improved.Consequently, if the cause does not happen, then the effect must not take place.The strength of the cause also determines the strength of the effect. The research study found that popularity and self-confidence did not increase for the students who did not become all-star athletes.It could be that there is some third factor that influences both events.Or, it could be that the likelihood of one event happening increases the likelihood of another event.For example, let's say that you were conducting an experiment to see if making a loud noise would cause newborns to cry.In this example, the loud noise would have to occur before the newborns cried.Suppose that your results showed that not only did the students view the all-star athletes as more attractive and popular, but the self-confidence of the athletes also improved.Here we see that one cause (having the status of an all-star athlete) has two effects (increased self-confidence and higher attractiveness ratings among other students).The alarm (the cause) made you wake up (the effect).There are three criteria that must be met to establish a cause-effect relationship: A correlation, or relationship between two events, does not equal causation.