Why Corelisation Research: What Is Corelation Research?

Correlation is usually when two things tend to happen together at the same time and causation is something happens because of something else. I think it is harder to prove causation because

correlation, (c) small positive linear correlation, (d) large but not perfect negative linear correlation, (e) no correlation, (f) clear curvilinear correlation.

It helps clarify relationsips between variables that cannot be examined by other methods and allows prediction

However, a correlation between two variables does not necessarily imply causation but for a causal relationship to exist between two variables there must be a correlation between the variables (Solomon W. Golomb, 2005). When predicting the Grade Point Averages, correlation might not be a good test for its prediction. This is because there is no GPA is not only influenced by intelligent quotient but it is also influenced by other external factors like Education background, family background, social and political environment among other factors. Other statistical tests may include the use of rating scales to rate qualities that cannot be directly rated through correlation by use of variables like good, fair, and excellent among others. Coefficient of correlation might also be used as a technique of predicting the Grade Point Averages. This refers to the main result of a correlation whereby it predicts significant and smaller changes among variables by use of scale r that ranges from +1.0 to -1.0.

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.

Answer: A positive correlation means that increases in the value of one variable are associated

When calculating the correlation between two variables, the objective is to see how one variable is influenced by another variable. The bivariate

True or False: Correlations are used to help identify the relationship between two variables. For

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).

"Correlation is a measure of association that tests whether a relationship exists between two variables. It indicates both the strength of the association and its direction (direct or inverse). The Pearson product-moment correlation coefficient, written as r, can describe a linear relationship between two variables" Correlation (n.d). As a human service professional and completing research there are advantages and disadvantages to correlational research methods, such as using correlational research it allows us to collect data and determine the strength and direction of what it is we

Research shows that there is a correlation that shows the relationshop between the IQ and the grade point average of students. It was found that the correlation is strong at a .75 because it’s a direct relationship. For instance when someone has a higher IQ they are more likely going to have a higher GPA. However although the correlation shows a higher IQ means higher GPA does not mean that is the only reason the GPA is rising, it could be because they hired a tutor, have been studying more or are maybe just in more interesting classes. In correlation studies they show that there is a relationship between two different variables however it is not evidence or proof in any way. The reason it isn’t proof is because it has not been proven that they are directly the reason for the relationship however that they do have common results. Some of the reasons correlation cannot prove anything is because of the limitations; these would be the lack of information about the correlation, sample size or the standard deviation. In our text it states “If the word correlation is broken down co-relation it is expresses what is meant: The characteristics are related and the evidence for the relationship is that they vary together, or co-vary. As the level of one variable changes, the other changes in concert, this happens because both variables contain some of the same information. The higher the correlation the more they may have in common” (Tanner,2011).

In Psychology 101 we learned that research methods are used in order to understand our mental and behavioral processes by making observations in a systematic way, following strict rules of evidence and thinking critically about that evidence. This scientific research is based on theories (tentative explanations of observations in science), hypotheses (predictions based on a theory) and replication (testing a hypothesis in more than one study). Some of the different research methods are firstly, descriptive studies. Descriptive studies are studies that use survey methods, naturalistic observation and clinical methods. Another research method is correlational studies. Correlational studies are studies that help one to determine if a relationship exists between two or more variables and if so it tells one how strongly those two variables relate to one another. With in correlational studies one can have positive correlation (as one variable increases or decreases so does the other), negative correlation (variables go in opposite directions) or zero correlation (no relationship between the variables). Another research method is formal experiments. Formal experiments are studies that allow us to draw conclusions about how one variable may cause or have an effect on another variable. With in formal experiments there are four elements, which are the independent variable (variable that is manipulated or controlled), the dependent variable (variable that is measured), the experimental

The strengths of correlation research are, it doesn't have to manipulate behavior, allows for prediction and allows the researcher to examine issues that cannot be studied ethically or practically in experiments. It is also a good starting point for deeper research and for investigating whether two or more variables are related.

A beneficial feature of correlation analysis is the possibility to foresee the movement in one