Correlation Research Method

Dunbar, G. (2005). Evaluating Research Methods in Psychology. New Jersey: John Wiley & Sons Inc.

Methodological Issues Article Review. Read the following articles, which can be accessed through the ProQuest database in the Ashford University Library:

Researchers often times are faced with the decision of choosing a methodology of research; either Quantitative or Qualitative that they think best fits their study and objectives. This choice is guarded by the topic of study, the advantages and disadvantages, and the strengths and weaknesses of using either one or the other type of the methodologies.

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

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

Each of these methods has their pros and cons. This portion will analyze the benefits and downfalls of these methods. An advantage that a case study can offer is that they can simplify some of the most complex concepts. From a positive perspective, a correlational

CMST 382 – Research Methods Public Comn: Please, update me when you get your assignments deadlines. Thus far, I do not have any grade to report.

The textbook define the correlation coefficient as "a measure that is designed to indicate the strength of the relationship between two variables" (UBC Real Estate Division, 2009). The textbook also states "the correlation coefficient may be positive, negative, or zero" (UBC Real Estate Division, 2009). A strong relationship implies that there is a relationship between the two variables and "as one variable increases (decreases), the other the variable will increase (decrease)" (Estate Division, 2009). A strong relationship would have a correlation coefficient value of +1 or -1.

A test was conducted to analyze the connections between alcohol and aggression. Considering that alcohol contributes to at least, if not half of murders and assaults, ergo focusing the results of this test for the public. In this test there were two groups, the control group and the alcohol group and one drank orange juice while the other had approximately two glasses of alcohol reaching 0.08% blood alcohol concentration. The participants were told that they were going to compete against each other on a reaction time task.They were

This write appreciates facts and data mostly, thus would choose a quantitative method of research. They are concise, the sampling size can be larger and the limitations to human subjectivity usually are less. It is believed that the accuracy of the study is greater and more

However with advantages come disadvantages. For example, with correlational studies there is no background information obtained. Therefore, the reliability of the correlational studies is questioned.

A correlational research design would be useful when studying the relationship of mentoring students in a reading class and the achievement on their Aims-web reading comprehension and fluency scores. The correlational design would be useful to determine to what degree if any exists. In a correlations study there can be a relationship between two or more variables. This type of research uses a correlation coefficient to explain relationships or show a lack of relationship between the variables. Correlational research design and a casual-comparative research design differ in many ways. Casual-comparative research uses two or more groups and determines the differences between groups. Also, in

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation

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 this article, the link between pleasure and aggression dealing with people’s choices and judgement are studied. The two groups of people are being used to test and influence the hypothesis in this article. According to Alvarado and Ramirez (2014), the two groups were of similar age, young delinquents and normal university students. One of the groups studied, showed more violence or bad behavior, while the other population is considered normal. The overall goal of the experiment is to evaluate whether the connection between pleasure and aggression and decision making primes a fixed or dissonant behavior (Alvarado & Ramirez; 2014). This testing was a voluntary unpaid experiment for participants and was completely anonymous. The ages used in the groups were very parallel, the felons mean age was 17.06 and the university student’s age had a mean of 20.56 (Alvarado & Ramirez; 2014). There isn’t a huge difference between ages in this study. The participants also came from a very similar area. The experiment included a total of 318 test subjects, with 48 percent consisting of males and 52% consisting of females. The 48% of males was equivalent to 177 young delinquents with an assortment of crimes under their belt, and 141 of the university students were compared to the delinquent group with normal aggression and no history of crime (Alvarado & Ramirez; 2014).