Causal-Relational Studies

There are several differences between correlation and causation. Correlation is if an event happens and is not related to another event and it is a coincidence. This would be if an event happened but it was not connected to another. An example of this would be catching a foul ball at a baseball game. It would be a correlation because you just happened to be in that place where the ball was hit and were able to catch it. Causation on the other hand is a cause and effect. One thing happens because another thing previously happened. An example of this would be if a person drank caffeine late at night, then they would be up all night. Another example of this would be if someone slipped on ice coming out of class.

Why it is difficult for researchers to isolate specific causes of child behaviour - using two of your own examples. How is the term “correlation” a solution to this problem?

Correlative studies are ones where the independent variable is not manipulated. Instead, scientists research the existing variation in them. Causative studies are ones that manipulate the independent variable to see how it affects the dependent variable.

Correlation means a mutual relationship or connection between two or more things, and it's different from causation, because that means the effect after an action. For example, in my life the correlation being a parent and their child and the causation could be a child getting an F for not studying. The Early Childhood Longitudinal Study is an overall study of the parents and students. They test their skills in academics then do a survey to better understand the thought process of each one and where it came from. The purpose was to see their correlation and causation. If they went hand-in-hand or not, another example, "A child whose parents are highly educated typically does well in school; not much surprise there" (199). What the parent does for their child is more helpful than what a parent is. With the support it all fits in and helps the child in its academic performance. I however, think it can go both ways; a parent can help and be it to be beneficial. It all depends on the child at the time and what its capabilities are, not their

Some advantages to using a correlational study would be that individuals are easy to obtain to conduct the research needed. Another advantage would be that the subjects would be of a wide variety, which would add more to the results of the study (Martyn, 2008).

This is study is an example of a correlational research because the research did not manipulate or influenced the variables. The only thing that was done was to record the experiences of battered women or non-battered women to get to a conclusion whether battered women are more susceptible to learned helplessness. In this case the independent variable of the research was whether the women had been abused or not and the dependent variable was the diagnosis of PTSD, MDD and other clinical disorders.

The homeschooling movement has been growing gradually over the past few years. According to About Education, homeschooling is a type of education where children learn outside of a school setting under the supervision of their parents. The family is able to decide what their children learn and how it is to be taught, while corresponding to government regulations that may apply in their state or country. Today, homeschooling is a broadly acknowledge educational alternative to traditional public or private schools, yet some people are not aware of what homeschools are like or the effects it may have on students. In his article, “Revisiting the Common Myths about Homeschooling,” Michael Romanowski, a professor of education in the Middle East, writes about four common myths about homeschooling and explains why the they are not true. On the contrary, Randall Curren and J.C. Blokhuis, the authors of “The Prima Facie Case Against Homeschooling,” believe common schools do a better job than parents of preparing children for public life. They are not specifically asserting that common schools are better than homeschooling, but a common school with professional trained teachers seems better than parents educating their own children. Ultimately, Romanowski’s concrete approach to his article by invalidating the myths proves to be more influential than Curren and Blokhuis.

research is observational in nature and a type of correlational research, and is often contrasted with

Correlation is defined as the occurrence of two of more things or events at the same time that might be associated with each other but are not necessarily connected by a cause and effect relationship. While on the other hand, causation is defined as the action of causing something to occur. In my opinion both causation and correlation are both difficult things to prove but I believe that causation is harder to prove than correlation. The problem with proving causation between events is that there is a possibility that there are other events that are correlated to the event we are trying to determine the causation. These correlated events could just be a coincidence that they are happening at the same time or it could be that theses events are the actual causation of the

Correlational research and causal-comparative research are two widely used research designs of a variety of types. An example of correlational research would be if the district benchmark scores would predict the success of the STAAR test. An example of causal-comparative research would be how does Attention Deficit Hyperactivity Disorder (ADHD) affect students’ STAAR results. Causal-comparative research is used to compare groups and observe the differences based on a variable. This research will basically be observing a cause and effect relationship. Correlational research determines whether or not a relationship exists between variables. Although they are approaching research differently, they are

Correlation and causation was a confusing topic for me at first because it was hard for me to understand what the two are, their differences, and why we were comparing them. But, through spending some time with it, I might have it down enough to explain in this short paper.

Gaining causal relationships is essential to true-experimental research. In other words, this means the bond between a definite variables, X, which alone makes the effect Y. For example, turning the volume knob on your stereo clockwise causes the sound to get louder. Besides, you could see that turning the knob clockwise alone, and nothing else, caused the sound level to increase. You could further come into conclusion that a causal relationship exists between turning the knob clockwise and a rise in volume; not simply since one caused the other, but since you are sure that nothing else caused the

This is not one thing changing and the other following rather this is one aspect being the cause and the other being the effect. Tall parents, tall child; this is cause and effect or causality to a 'T.' There is another example that will further help explain causality versus correlation. The example follows the parents and child situation. People see a nice and respectful child and they automatically think the parents did a great job raising the child. A effecting B. What if the child actually influenced the parents. To further explain what if the parents ere mean and un-kind people however they had a child who learned differently and actually changed who the parents were. This is referred to as revere causality. Instead of A - the parents effecting B - the child, rather B effects A. This is cause and effect of personalities. Correlation is not

The two studies use different groups of participants: one, relatively well-educated; the other, tertiary students. Comment on the main differences between these two groups and highlight any concerns or uncertainty that these groups bring to the conclusions of these studies?

The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies by Charles C. Ragin describes several aspects of the comparative research process. He describes in detail the strategies a comparative researcher can employ and the differences and similarities of these strategies. He notes that the comparative approach is primarily of a qualitative nature and is by its very nature different from quantitative scientific methodology based upon statistical inference. During the course of this report, Ragin’s “The Comparative Method” will be described by its major points and descriptions of comparative research. Several weaknesses will be identified and described. And finally, this report will seek to discuss how these weaknesses can be overcome or mitigated.