(iv) Causal comparison and Correlational studies.
Further, most of the research is Correlational.
So what I have shown you so far is simply Correlational, right?
Clearly this Correlational evidence should be treated with caution as it says nothing about causation.
They are also Correlational so we currently aren't able to make
any causal inferences about the[ventrolateral prefrontal cortex]-psychopathy relationship.”.
Of course, because we're dealing with Correlational data, we can't say that having a certain
trait necessarily causes a given fantasy;
A Correlational study such as this one cannot prove that factors such as being unmarried
or having fewer close friends necessarily cause higher mortality.
Many studies linking prosocial behavior to mood, ours included, are Correlational- we cannot conclude that helping friends
or romantic others causes more positive mood.
Note that these are Correlational research findings which means there was an important
relationship found between the given character strength with that particular area of health.
Longitudinal studies are like the Correlational studies except researchers take multiple measurements
on the same group over an extended period of time- months, years or decades.
Both Correlational and longitudinal research have indicated that play
at these games improves general problem-solving ability and may even result in higher academic grades(see Granic et al, 2014).
Importantly, the results are Correlational, meaning they show an association between the worthwhile ratings
and other aspects of life, but do not necessarily mean that one causes the other.
This was a Correlational study, not an experiment,
so it's hard to know to what degree gaming addiction was a cause of these psychological detriments or a result of them.
Because this analysis is Correlational, we can't tell if these activities cause happiness,
happiness causes teens to engage in these activities more, or if the same type of teens do both.
Much of these data are Correlational- meaning they demonstrate that income inequality
and bad outcomes are linked, but fall short of basic scientific criteria for claiming that inequality causes these outcomes.
This type of work may be followed by Correlational studies, collecting information about chronological age
and some type of development such as vocabulary growth; Correlational statistics can be used to state change.